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Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension
Yuandong Tian
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Data Amplification: Instance-Optimal Property Estimation
Yi Hao · Alon Orlitsky
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
PENNI: Pruned Kernel Sharing for Efficient CNN Inference
Shiyu Li · Edward Hanson · Hai Li · Yiran Chen
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Differentiating through the Fréchet Mean
Aaron Lou · Isay Katsman · Qingxuan Jiang · Serge Belongie · Ser Nam Lim · Christopher De Sa
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Maximum-and-Concatenation Networks
Xingyu Xie · Hao Kong · Jianlong Wu · Wayne Zhang · Guangcan Liu · Zhouchen Lin
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Evaluating the Performance of Reinforcement Learning Algorithms
Scott M Jordan · Yash Chandak · Daniel Cohen · Mengxue Zhang · Philip Thomas
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
A Free-Energy Principle for Representation Learning
Yansong Gao · Pratik Chaudhari
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Efficient nonparametric statistical inference on population feature importance using Shapley values
Brian Williamson · Jean Feng
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
Martin Mladenov · Elliot Creager · Omer Ben-Porat · Kevin Swersky · Richard Zemel · Craig Boutilier
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Customizing ML Predictions for Online Algorithms
Keerti Anand · Rong Ge · Debmalya Panigrahi
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generative Flows with Matrix Exponential
Changyi Xiao · Ligang Liu
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Chi Jin · Praneeth Netrapalli · Michael Jordan
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
Di Chen · Yiwei Bai · Wenting Zhao · Sebastian Ament · John Gregoire · Carla Gomes
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani · Amir Hosein Khasahmadi
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Yaodong Yang · Jianye Hao · Guangyong Chen · Hongyao Tang · Yingfeng Chen · Yujing Hu · Changjie Fan · Zhongyu Wei
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Fair Learning with Private Demographic Data
Hussein Mozannar · Mesrob Ohannessian · Nati Srebro
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
Yonggan Fu · Wuyang Chen · Haotao Wang · Haoran Li · Yingyan Lin · Zhangyang Wang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
(Individual) Fairness for k-Clustering
Sepideh Mahabadi · Ali Vakilian
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Scalable Nearest Neighbor Search for Optimal Transport
Arturs Backurs · Yihe Dong · Piotr Indyk · Ilya Razenshteyn · Tal Wagner
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
shuai zhang · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Two Routes to Scalable Credit Assignment without Weight Symmetry
Daniel Kunin · Aran Nayebi · Javier Sagastuy-Brena · Surya Ganguli · Jonathan Bloom · Daniel Yamins
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Learning From Strategic Agents: Accuracy, Improvement, and Causality
Yonadav Shavit · Benjamin Edelman · Brian Axelrod
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Improving the Gating Mechanism of Recurrent Neural Networks
Albert Gu · Caglar Gulcehre · Thomas Paine · Matthew Hoffman · Razvan Pascanu
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Asynchronous Coagent Networks
James Kostas · Chris Nota · Philip Thomas
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Zeno++: Robust Fully Asynchronous SGD
Cong Xie · Sanmi Koyejo · Indranil Gupta
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Reverse-engineering deep ReLU networks
David Rolnick · Konrad Kording
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Randomized Smoothing of All Shapes and Sizes
Greg Yang · Tony Duan · J. Edward Hu · Hadi Salman · Ilya Razenshteyn · Jerry Li
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
From Importance Sampling to Doubly Robust Policy Gradient
Jiawei Huang · Nan Jiang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Changxiao Cai · H. Vincent Poor · Yuxin Chen
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Faster Graph Embeddings via Coarsening
Matthew Fahrbach · Gramoz Goranci · Sushant Sachdeva · Richard Peng · Chi Wang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Optimizing for the Future in Non-Stationary MDPs
Yash Chandak · Georgios Theocharous · Shiv Shankar · Martha White · Sridhar Mahadevan · Philip Thomas
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization
Yu-Sheng Li · Wei-Lin Chiang · Ching-pei Lee
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
Hao Wu · Heiko Zimmermann · Eli Sennesh · Tuan Anh Le · Jan-Willem van de Meent
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Streaming k-Submodular Maximization under Noise subject to Size Constraint
Lan N. Nguyen · My T. Thai
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Full Law Identification In Graphical Models Of Missing Data: Completeness Results
Razieh Nabi · Rohit Bhattacharya · Ilya Shpitser
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
What Can Learned Intrinsic Rewards Capture?
Zeyu Zheng · Junhyuk Oh · Matteo Hessel · Zhongwen Xu · Manuel Kroiss · Hado van Hasselt · David Silver · Satinder Singh
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
ControlVAE: Controllable Variational Autoencoder
Huajie Shao · Shuochao Yao · Dachun Sun · Aston Zhang · Shengzhong Liu · Dongxin Liu · Jun Wang · Tarek Abdelzaher
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
On the Global Optimality of Model-Agnostic Meta-Learning
Lingxiao Wang · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
The Effect of Natural Distribution Shift on Question Answering Models
John Miller · Karl Krauth · Ludwig Schmidt · Benjamin Recht
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Mutual Transfer Learning for Massive Data
Ching-Wei Cheng · Xingye Qiao · Guang Cheng
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints
Runchao Ma · Qihang Lin · Tianbao Yang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Binxin Ru · Ahsan Alvi · Vu Nguyen · Michael A Osborne · Stephen Roberts
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Familywise Error Rate Control by Interactive Unmasking
Boyan Duan · Aaditya Ramdas · Larry Wasserman
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Laplacian Regularized Few-Shot Learning
Imtiaz Ziko · Jose Dolz · Eric Granger · Ismail Ben Ayed
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
Nian Si · Fan Zhang · Zhengyuan Zhou · Jose Blanchet
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen · Simon Kornblith · Mohammad Norouzi · Geoffrey Hinton
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time
XICHUAN ZHOU · YiCong Peng · Chunqiao Long · Fengbo Ren · Cong Shi
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Streaming Submodular Maximization under a k-Set System Constraint
Ran Haba · Ehsan Kazemi · Moran Feldman · Amin Karbasi
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference
Rob Brekelmans · Vaden W Masrani · Frank Wood · Greg Ver Steeg · Aram Galstyan
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Simple and Deep Graph Convolutional Networks
Ming Chen · Zhewei Wei · Zengfeng Huang · Bolin Ding · Yaliang Li
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Tensor denoising and completion based on ordinal observations
Chanwoo Lee · Miaoyan Wang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
On the Noisy Gradient Descent that Generalizes as SGD
Jingfeng Wu · Wenqing Hu · Haoyi Xiong · Jun Huan · Vladimir Braverman · Zhanxing Zhu
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application
Wenpin Tang · Xin Guo · Fengmin Tang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Accelerated Stochastic Gradient-free and Projection-free Methods
Feihu Huang · Lue Tao · Songcan Chen
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
Vihari Piratla · Praneeth Netrapalli · Sunita Sarawagi
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Reinforcement Learning with Differential Privacy
Giuseppe Vietri · Borja de Balle Pigem · Steven Wu · Akshay Krishnamurthy
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
Xiaotian Hao · Zhaoqing Peng · Yi Ma · Guan Wang · Junqi Jin · Jianye Hao · Shan Chen · Rongquan Bai · Mingzhou Xie · Miao Xu · Zhenzhe Zheng · Chuan Yu · HAN LI · Jian Xu · Kun Gai
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Fair Generative Modeling via Weak Supervision
Kristy Choi · Aditya Grover · Trisha Singh · Rui Shu · Stefano Ermon
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data
Lan-Zhe Guo · Zhen-Yu Zhang · Yuan Jiang · Yufeng Li · Zhi-Hua Zhou
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Evaluating Lossy Compression Rates of Deep Generative Models
Sicong Huang · Alireza Makhzani · Yanshuai Cao · Roger Grosse
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
On Variational Learning of Controllable Representations for Text without Supervision
Peng Xu · Jackie Chi Kit Cheung · Yanshuai Cao
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Explaining Groups of Points in Low-Dimensional Representations
Gregory Plumb · Jonathan Terhorst · Sriram Sankararaman · Ameet Talwalkar
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Learning and Simulation in Generative Structured World Models
Zhixuan Lin · Yi-Fu Wu · Skand Peri · Bofeng Fu · Jindong Jiang · Sungjin Ahn
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Stochastic Regret Minimization in Extensive-Form Games
Gabriele Farina · Christian Kroer · Tuomas Sandholm
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
Julien Hendrickx · Alex Olshevsky · Venkatesh Saligrama
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Provably Efficient Exploration in Policy Optimization
Qi Cai · Zhuoran Yang · Chi Jin · Zhaoran Wang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions
Prashanth L.A. · Krishna Jagannathan · Ravi Kolla
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Self-concordant analysis of Frank-Wolfe algorithm
Mathias Staudigl · Pavel Dvurechenskii · Shimrit Shtern · Kamil Safin · Petr Ostroukhov
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
Tanner Fiez · Benjamin Chasnov · Lillian Ratliff
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
On Second-Order Group Influence Functions for Black-Box Predictions
Samyadeep Basu · Xuchen You · Soheil Feizi
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Deep Divergence Learning
Kubra Cilingir · Rachel Manzelli · Brian Kulis
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Tony Duan · Anand Avati · Daisy Ding · Khanh K. Thai · Sanjay Basu · Andrew Ng · Alejandro Schuler
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints
Akbar Rafiey · Yuichi Yoshida
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding
Yibo Yang · Robert Bamler · Stephan Mandt
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Sen Na · Yuwei Luo · Zhuoran Yang · Zhaoran Wang · Mladen Kolar
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Training Binary Neural Networks through Learning with Noisy Supervision
Kai Han · Yunhe Wang · Yixing Xu · Chunjing Xu · Enhua Wu · Chang Xu
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis
Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
Will Grathwohl · Kuan-Chieh Wang · Joern-Henrik Jacobsen · David Duvenaud · Richard Zemel
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs
AmirEmad Ghassami · Alan Yang · Negar Kiyavash · Kun Zhang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim · Yehong Zhang · Bryan Kian Hsiang Low · Mun Choon Chan
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Taylor Expansion Policy Optimization
Yunhao Tang · Michal Valko · Remi Munos
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Layered Sampling for Robust Optimization Problems
Hu Ding · Zixiu Wang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu · Edgar Dobriban · Susan B Davidson
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Confidence-Aware Learning for Deep Neural Networks
Sangheum Hwang · Jooyoung Moon · Jihyo Kim · Younghak Shin
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Distance Metric Learning with Joint Representation Diversification
Xu Chu · Yang Lin · Xiting Wang · Xin Gao · Qi Tong · Hailong Yu · Yasha Wang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
LTF: A Label Transformation Framework for Correcting Label Shift
Jiaxian Guo · Mingming Gong · Tongliang Liu · Kun Zhang · Dacheng Tao
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
On the Generalization Effects of Linear Transformations in Data Augmentation
Sen Wu · Hongyang Zhang · Gregory Valiant · Christopher Re
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Interpolation between CNNs and ResNets
Zonghan Yang · Yang Liu · Chenglong Bao · Zuoqiang Shi
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Problems with Shapley-value-based explanations as feature importance measures
Indra Kumar · Suresh Venkatasubramanian · Carlos Scheidegger · Sorelle Friedler
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Searching to Exploit Memorization Effect in Learning with Noisy Labels
QUANMING YAO · Hansi Yang · Bo Han · Gang Niu · James Kwok
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Incidence Networks for Geometric Deep Learning
Marjan Albooyeh · Daniele Bertolini · Siamak Ravanbakhsh
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Recurrent Hierarchical Topic-Guided RNN for Language Generation
Dandan Guo · Bo Chen · Ruiying Lu · Mingyuan Zhou
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Learning with Multiple Complementary Labels
LEI FENG · Takuo Kaneko · Bo Han · Gang Niu · Bo An · Masashi Sugiyama
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Richard Zhang · Daniel Golovin
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Online Learning for Active Cache Synchronization
Andrey Kolobov · Sebastien Bubeck · Julian Zimmert
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks
Sijia Liu · Songtao Lu · Xiangyi Chen · Yao Feng · Kaidi Xu · Abdullah Al-Dujaili · Mingyi Hong · Una-May O'Reilly
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Christopher DeCarolis · Mukul A Ram · Seyed Esmaeili · Yu-Xiang Wang · Furong Huang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Loss Function Search for Face Recognition
Xiaobo Wang · Shuo Wang · Shifeng Zhang · Cheng Chi · Tao Mei
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Multigrid Neural Memory
Tri Huynh · Michael Maire · Matthew Walter
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Generating Programmatic Referring Expressions via Program Synthesis
Jiani Huang · Calvin Smith · Osbert Bastani · Rishabh Singh · Aws Albarghouthi · Mayur Naik
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Communication-Efficient Federated Learning with Sketching
Daniel Rothchild · Ashwinee Panda · Enayat Ullah · Nikita Ivkin · Vladimir Braverman · Joseph Gonzalez · Ion Stoica · Raman Arora
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Towards Understanding the Dynamics of the First-Order Adversaries
Zhun Deng · Hangfeng He · Jiaoyang Huang · Weijie Su
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Nested Subspace Arrangement for Representation of Relational Data
Nozomi Hata · Shizuo Kaji · Akihiro Yoshida · Katsuki Fujisawa
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
Pranjal Awasthi · Natalie Frank · Mehryar Mohri
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
Niccolo Dalmasso · Rafael Izbicki · Ann Lee
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong Nguyen · Tal Hassner · Cedric Archambeau · Matthias W Seeger
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Stochastic Optimization for Non-convex Inf-Projection Problems
Yan Yan · Yi Xu · Lijun Zhang · Wang Xiaoyu · Tianbao Yang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Semismooth Newton Algorithm for Efficient Projections onto $\ell_{1, \infty}$-norm Ball
Dejun Chu · Changshui Zhang · Shiliang Sun · Qing Tao
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
On Implicit Regularization in $\beta$-VAEs
Abhishek Kumar · Ben Poole
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Learning From Irregularly-Sampled Time Series: A Missing Data Perspective
Steven Cheng-Xian Li · Benjamin M Marlin
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
FedBoost: A Communication-Efficient Algorithm for Federated Learning
Jenny Hamer · Mehryar Mohri · Ananda Theertha Suresh
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Combinatorial Pure Exploration for Dueling Bandit
Wei Chen · Yihan Du · Longbo Huang · Haoyu Zhao
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions
Kaito Fujii
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights and Algorithms
Chaosheng Dong · Bo Zeng
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Working Memory Graphs
Ricky Loynd · Roland Fernandez · Asli Celikyilmaz · Adith Swaminathan · Matthew Hausknecht
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique · Paul Weng · Matthieu Zimmer
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Adversarial Neural Pruning with Latent Vulnerability Suppression
Divyam Madaan · Jinwoo Shin · Sung Ju Hwang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Representations for Stable Off-Policy Reinforcement Learning
Dibya Ghosh · Marc Bellemare
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Batch Reinforcement Learning with Hyperparameter Gradients
Byung-Jun Lee · Jongmin Lee · Peter Vrancx · Dongho Kim · Kee-Eung Kim
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Uncertainty-Aware Lookahead Factor Models for Improved Quantitative Investing
Lakshay Chauhan · John Alberg · Zachary Lipton
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Boosting for Control of Dynamical Systems
Naman Agarwal · Nataly Brukhim · Elad Hazan · Zhou Lu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Nonparametric Score Estimators
Yuhao Zhou · Jiaxin Shi · Jun Zhu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Is Local SGD Better than Minibatch SGD?
Blake Woodworth · Kumar Kshitij Patel · Sebastian Stich · Zhen Dai · Brian Bullins · Brendan McMahan · Ohad Shamir · Nati Srebro
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
Jinzhi Bu · David Simchi-Levi · Yunzong Xu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness
Sebastian Pokutta · Mohit Singh · Alfredo Torrico
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
Rie Johnson · Tong Zhang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Discount Factor as a Regularizer in Reinforcement Learning
Ron Amit · Kamil Ciosek · Ron Meir
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Evolving Machine Learning Algorithms From Scratch
Esteban Real · Chen Liang · David So · Quoc Le
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Feature Noise Induces Loss Discrepancy Across Groups
Fereshte Khani · Percy Liang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Parameterized Rate-Distortion Stochastic Encoder
Quan Hoang · Trung Le · Dinh Phung
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
Chi Jin · Tiancheng Jin · Haipeng Luo · Suvrit Sra · Tiancheng Yu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Estimating the Number and Effect Sizes of Non-null Hypotheses
Jennifer Brennan · Ramya Korlakai Vinayak · Kevin Jamieson
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Distributed Online Optimization over a Heterogeneous Network
Nima Eshraghi · Ben Liang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
DROCC: Deep Robust One-Class Classification
Sachin Goyal · Aditi Raghunathan · Moksh Jain · Harsha Vardhan Simhadri · Prateek Jain
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo · Shahin Boluki · Xinyu Gong · Zhangyang Wang · Xiaoning Qian
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders
Yibo Jiang · Cengiz Pehlevan
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Yun Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Oracle Efficient Private Non-Convex Optimization
Seth Neel · Aaron Roth · Giuseppe Vietri · Steven Wu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures
Chiranjib Bhattacharyya · Ravindran Kannan
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Detecting Out-of-Distribution Examples with Gram Matrices
Chandramouli Shama Sastry · Sageev Oore
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Closing the convergence gap of SGD without replacement
Shashank Rajput · Anant Gupta · Dimitris Papailiopoulos
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Invariant Risk Minimization Games
Kartik Ahuja · Karthikeyan Shanmugam · Kush Varshney · Amit Dhurandhar
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Meta-learning for Mixed Linear Regression
Weihao Kong · Raghav Somani · Zhao Song · Sham Kakade · Sewoong Oh
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
Kunal Menda · Jean de Becdelievre · Jayesh K. Gupta · Ilan Kroo · Mykel Kochenderfer · Zachary Manchester
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
An end-to-end approach for the verification problem: learning the right distance
Joao Monteiro · Isabela Albuquerque · Jahangir Alam · R Devon Hjelm · Tiago Falk
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Baifeng Shi · Dinghuai Zhang · Qi Dai · Jingdong Wang · Zhanxing Zhu · Yadong Mu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets
Daniel Kumor · Carlos Cinelli · Elias Bareinboim
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha · Matthew O'Kelly · Hongrui Zheng · Rahul Mangharam · John Duchi · Russ Tedrake
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Angular Visual Hardness
Beidi Chen · Weiyang Liu · Zhiding Yu · Jan Kautz · Anshumali Shrivastava · Animesh Garg · Anima Anandkumar
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Overfitting in adversarially robust deep learning
Eric Wong · Leslie Rice · Zico Kolter
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
Shangtong Zhang · Bo Liu · Shimon Whiteson
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Neural Clustering Processes
Ari Pakman · Yueqi Wang · Catalin Mitelut · JinHyung Lee · Department of Statistics Liam Paninski
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
Yufeng Zhang · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Parametric Gaussian Process Regressors
Martin Jankowiak · Geoff Pleiss · Jacob Gardner
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
An EM Approach to Non-autoregressive Conditional Sequence Generation
Zhiqing Sun · Yiming Yang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination
Saurabh Goyal · Anamitra Roy Choudhury · Venkatesan Chakaravarthy · Saurabh Raje · Yogish Sabharwal · Ashish Verma
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Strategyproof Mean Estimation from Multiple-Choice Questions
Anson Kahng · Gregory Kehne · Ariel Procaccia
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Finite-Time Convergence in Continuous-Time Optimization
Orlando Romero · mouhacine Benosman
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Stronger and Faster Wasserstein Adversarial Attacks
Kaiwen Wu · Allen Wang · Yaoliang Yu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
The Tree Ensemble Layer: Differentiability meets Conditional Computation
Hussein Hazimeh · Natalia Ponomareva · Rahul Mazumder · Zhenyu Tan · Petros Mol
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Differentially Private Set Union
Pankaj Gulhane · Sivakanth Gopi · Janardhan Kulkarni · Judy Hanwen Shen · Milad Shokouhi · Sergey Yekhanin
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
Xingjian Li · Haoyi Xiong · Haozhe An · Dejing Dou · Cheng-Zhong Xu
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
Mahsa Ghasemi · Erdem Bulgur · Ufuk Topcu
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Overparameterization hurts worst-group accuracy with spurious correlations
Shiori Sagawa · aditi raghunathan · Pang Wei Koh · Percy Liang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Elan Rosenfeld · Ezra Winston · Pradeep Ravikumar · Zico Kolter
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions
Prathamesh Patil · Arpit Agarwal · Shivani Agarwal · Sanjeev Khanna
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Nearly Linear Row Sampling Algorithm for Quantile Regression
Yi Li · Ruosong Wang · Lin Yang · Hanrui Zhang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Low-loss connection of weight vectors: distribution-based approaches
Ivan Anokhin · Dmitry Yarotsky
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Variational Imitation Learning with Diverse-quality Demonstrations
Voot Tangkaratt · Bo Han · Mohammad Emtiyaz Khan · Masashi Sugiyama
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Streaming Coresets for Symmetric Tensor Factorization
Supratim Shit · Anirban Dasgupta · Rachit Chhaya · Jayesh Choudhari
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
How Good is the Bayes Posterior in Deep Neural Networks Really?
Florian Wenzel · Kevin Roth · Bastiaan Veeling · Jakub Swiatkowski · Linh Tran · Stephan Mandt · Jasper Snoek · Tim Salimans · Rodolphe Jenatton · Sebastian Nowozin
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Neural Contextual Bandits with UCB-based Exploration
Dongruo Zhou · Lihong Li · Quanquan Gu
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making
Daniel Jarrett · Mihaela van der Schaar
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Learning and sampling of atomic interventions from observations
Arnab Bhattacharyya · Sutanu Gayen · Saravanan Kandasamy · Ashwin Maran · Vinodchandran N. Variyam
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen · Cho-Jui Hsieh
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Retrieval Augmented Language Model Pre-Training
Kelvin Guu · Kenton Lee · Zora Tung · Panupong Pasupat · Mingwei Chang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Provable guarantees for decision tree induction: the agnostic setting
Guy Blanc · Jane Lange · Li-Yang Tan
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Two Simple Ways to Learn Individual Fairness Metric from Data
Debarghya Mukherjee · Mikhail Yurochkin · Moulinath Banerjee · Yuekai Sun
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
Wei Zhang · Thomas Panum · Somesh Jha · Prasad Chalasani · David Page
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Structured Policy Iteration for Linear Quadratic Regulator
Youngsuk Park · Ryan Rossi · Zheng Wen · Gang Wu · Handong Zhao
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Context Aware Local Differential Privacy
Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Disentangling Trainability and Generalization in Deep Neural Networks
Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Feature Quantization Improves GAN Training
Yang Zhao · Chunyuan Li · Ping Yu · Jianfeng Gao · Changyou Chen
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Fiduciary Bandits
Gal Bahar · Omer Ben-Porat · Kevin Leyton-Brown · Moshe Tennenholtz
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu · Xiao Zhang · David Evans
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
The many Shapley values for model explanation
Mukund Sundararajan · Amir Najmi
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Variance Reduction in Stochastic Particle-Optimization Sampling
Jianyi Zhang · Yang Zhao · Changyou Chen
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Lookahead-Bounded Q-learning
Ibrahim El Shar · Daniel Jiang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Non-Autoregressive Neural Text-to-Speech
Kainan Peng · Wei Ping · Zhao Song · Kexin Zhao
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
A Chance-Constrained Generative Framework for Sequence Optimization
Xianggen Liu · Jian Peng · Qiang Liu · Sen Song
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Recovery of sparse signals from a mixture of linear samples
Arya Mazumdar · Soumyabrata Pal
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Hierarchically Decoupled Morphological Transfer
Donald Hejna · Lerrel Pinto · Pieter Abbeel
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan Foster · Alexander Rakhlin
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
Ali AhmadiTeshnizi · Saber Salehkaleybar · Negar Kiyavash
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach
Junzhe Zhang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel Brown · Scott Niekum · Russell Coleman · Ravi Srinivasan
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Fast OSCAR and OWL with Safe Screening Rules
Runxue Bao · Bin Gu · Heng Huang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Raphaël Dang-Nhu · Gagandeep Singh · Pavol Bielik · Martin Vechev
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change
Salman Sadiq Shuvo · Yasin Yilmaz · Alan Bush · Mark Hafen
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning
Sang-Hyun Lee · Seung-Woo Seo
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Variable Skipping for Autoregressive Range Density Estimation
Eric Liang · Zongheng Yang · Ion Stoica · Pieter Abbeel · Yan Duan · Peter Chen
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang · Joel Lehman · Aditya Rawal · Jiale Zhi · Yulun Li · Jeffrey Clune · Kenneth Stanley
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Being Bayesian about Categorical Probability
Taejong Joo · Uijung Chung · Min-Gwan Seo
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
On Semi-parametric Inference for BART
Veronika Rockova
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Scalable Deep Generative Modeling for Sparse Graphs
Hanjun Dai · Azade Nazi · Yujia Li · Bo Dai · Dale Schuurmans
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz · Meirav Galun · Haggai Maron · Ronen Basri · Irad Yavneh
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
Qing Li · Siyuan Huang · Yining Hong · Yixin Chen · Ying Nian Wu · Song-Chun Zhu
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Optimizing Multiagent Cooperation via Policy Evolution and Shared Experiences
Somdeb Majumdar · Shauharda Khadka · Santiago Miret · Stephen Mcaleer · Kagan Tumer
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh · Ehsan Hajiramezanali · Shahin Boluki · Nick Duffield · Mingyuan Zhou · Krishna Narayanan · Xiaoning Qian
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
Liang Ding · Rui Tuo · Shahin Shahrampour
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Tightening Exploration in Upper Confidence Reinforcement Learning
Hippolyte Bourel · Odalric-Ambrym Maillard · Mohammad Sadegh Talebi
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Description Based Text Classification with Reinforcement Learning
Wei Wu · Duo Chai · Qinghong Han · Fei Wu · Jiwei Li
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Source Separation with Deep Generative Priors
Vivek Jayaram · John Thickstun
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Jung Yeon Park · Kenneth Carr · Stephan Zheng · Yisong Yue · Rose Yu
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Deep k-NN for Noisy Labels
Dara Bahri · Heinrich Jiang · Maya Gupta
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Obtaining Adjustable Regularization for Free via Iterate Averaging
Jingfeng Wu · Vladimir Braverman · Lin Yang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang · Arash Pakbin · Bobak Mortazavi · Hongyu Zhao · Donald Lee
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Dispersed EM-VAEs for Interpretable Text Generation
Wenxian Shi · Hao Zhou · Ning Miao · Lei Li
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Robustness to Spurious Correlations via Human Annotations
Megha Srivastava · Tatsunori Hashimoto · Percy Liang
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Error Estimation for Sketched SVD
Miles Lopes · N. Benjamin Erichson · Michael Mahoney
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Deep Isometric Learning for Visual Recognition
Haozhi Qi · Chong You · Xiaolong Wang · Yi Ma · Jitendra Malik
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
Nikunj Umesh Saunshi · Yi Zhang · Mikhail Khodak · Sanjeev Arora
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Responsive Safety in Reinforcement Learning
Adam Stooke · Joshua Achiam · Pieter Abbeel
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models
Yiding Feng · Ekaterina Khmelnitskaya · Denis Nekipelov
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Influence Diagram Bandits
Tong Yu · Branislav Kveton · Zheng Wen · Ruiyi Zhang · Ole J. Mengshoel
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Logarithmic Regret for Online Control with Adversarial Noise
Dylan Foster · Max Simchowitz
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
Yuxuan Xie · Jilles Dibangoye · Olivier Buffet
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Harmonic Decompositions of Convolutional Networks
Meyer Scetbon · Zaid Harchaoui
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson · Or Avner · Edward Groshev · Aviv Tamar
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha · Goran Radanovic · Rati Devidze · Jerry Zhu · Adish Singla
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
Zhuohan Li · Eric Wallace · Sheng Shen · Kevin Lin · Kurt Keutzer · Dan Klein · Joseph E. Gonzalez
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Training Deep Energy-Based Models with f-Divergence Minimization
Lantao Yu · Yang Song · Jiaming Song · Stefano Ermon
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Fully Parallel Hyperparameter Search: Reshaped Space-Filling
Marie-Liesse Cauwet · Camille Couprie · Julien Dehos · Pauline Luc · Jeremy Rapin · Morgane Riviere · Fabien Teytaud · Olivier Teytaud · Nicolas Usunier
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Zhaohan Guo · Bernardo Avila Pires · Mohammad Gheshlaghi Azar · Bilal Piot · Florent Altché · Jean-Bastien Grill · Remi Munos
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Incremental Sampling Without Replacement for Sequence Models
Kensen Shi · David Bieber · Charles Sutton
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Generative Pretraining From Pixels
Mark Chen · Alec Radford · Rewon Child · Jeffrey K Wu · Heewoo Jun · David Luan · Ilya Sutskever
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems
Hans Kersting · Nicholas Krämer · Martin Schiegg · Christian Daniel · Michael Schober · Philipp Hennig
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Structured Prediction with Partial Labelling through the Infimum Loss
Vivien Cabannnes · Francis Bach · Alessandro Rudi
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
On the Theoretical Properties of the Network Jackknife
Qiaohui Lin · Robert Lunde · Purnamrita Sarkar
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Explainable k-Means and k-Medians Clustering
Michal Moshkovitz · Sanjoy Dasgupta · Cyrus Rashtchian · Nave Frost
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi · Samuel Stanton · Pavel Izmailov · Andrew Wilson
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
Shuang Qiu · Xiaohan Wei · Zhuoran Yang
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
A simpler approach to accelerated optimization: iterative averaging meets optimism
Pooria Joulani · Anant Raj · András György · Csaba Szepesvari
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Learning To Stop While Learning To Predict
Xinshi Chen · Hanjun Dai · Yu Li · Xin Gao · Le Song
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
When are Non-Parametric Methods Robust?
Robi Bhattacharjee · Kamalika Chaudhuri
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Online Control of the False Coverage Rate and False Sign Rate
Asaf Weinstein · Aaditya Ramdas
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Reddy Karimireddy · Satyen Kale · Mehryar Mohri · Sashank Jakkam Reddi · Sebastian Stich · Ananda Theertha Suresh
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan · David Sussillo
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such · Aditya Rawal · Joel Lehman · Kenneth Stanley · Jeffrey Clune
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain · Alon Orlitsky
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Revisiting Spatial Invariance with Low-Rank Local Connectivity
Gamaleldin Elsayed · Prajit Ramachandran · Jon Shlens · Simon Kornblith
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
SoftSort: A Differantiable Continuous Relaxation of the argsort Operator
Sebastian Prillo · Julian M Eisenschlos
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Automatic Shortcut Removal for Self-Supervised Representation Learning
Matthias Minderer · Olivier Bachem · Neil Houlsby · Michael Tschannen
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
On Learning Sets of Symmetric Elements
Haggai Maron · Or Litany · Gal Chechik · Ethan Fetaya
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Topological Autoencoders
Michael Moor · Max Horn · Bastian Rieck · Karsten Borgwardt
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Federated Learning with Only Positive Labels
Felix Xinnan Yu · Ankit Singh Rawat · Aditya Menon · Sanjiv Kumar
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
Junjie Hu · Sebastian Ruder · Aditya Siddhant · Graham Neubig · Orhan Firat · Melvin Johnson
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Selective Dyna-style Planning Under Limited Model Capacity
Zaheer SM · Samuel Sokota · Erin Talvitie · Martha White
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Stochastically Dominant Distributional Reinforcement Learning
John Martin · Michal Lyskawinski · Xiaohu Li · Brendan Englot
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Adversarial Robustness for Code
Pavol Bielik · Martin Vechev
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer
Alexey Drutsa
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Standley · Amir Zamir · Dawn Chen · Leonidas Guibas · Jitendra Malik · Silvio Savarese
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Kernel Methods for Cooperative Multi-Agent Learning with Delays
Abhimanyu Dubey · Alex `Sandy' Pentland
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
Steven Kleinegesse · Michael Gutmann
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Understanding and Mitigating the Tradeoff between Robustness and Accuracy
Aditi Raghunathan · Sang Michael Xie · Fanny Yang · John Duchi · Percy Liang
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Expectation Maximization with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
Amr Mohamed Alexandari · Anshul Kundaje · Avanti Shrikumar
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Near-linear time Gaussian process optimization with adaptive batching and resparsification
Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Domain Adaptive Imitation Learning
Kuno Kim · Yihong Gu · Jiaming Song · Shengjia Zhao · Stefano Ermon
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Explainable and Discourse Topic-aware Neural Language Understanding
Yatin Chaudhary · Pankaj Gupta · Hinrich Schuetze
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Bandits with Adversarial Scaling
Thodoris Lykouris · Vahab Mirrokni · Renato Leme
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Quantum Expectation-Maximization for Gaussian Mixture Models
Alessandro Luongo · Iordanis Kerenidis · Anupam Prakash
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
Zitong Yang · Yaodong Yu · Chong You · Jacob Steinhardt · Yi Ma
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Online metric algorithms with untrusted predictions
Antonios Antoniadis · Christian Coester · Marek Elias · Adam Polak · Bertrand Simon
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Victor Campos · Alexander Trott · Caiming Xiong · Richard Socher · Xavier Giro-i-Nieto · Jordi Torres
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Consistent Structured Prediction with Max-Min Margin Markov Networks
Alex Nowak · Francis Bach · Alessandro Rudi
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Yang Liu · Hongyi Guo
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Information-Theoretic Local Minima Characterization and Regularization
Zhiwei Jia · Hao Su
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
A Swiss Army Knife for Minimax Optimal Transport
Sofien Dhouib · Ievgen Redko · Tanguy Kerdoncuff · Rémi Emonet · Marc Sebban
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Smaller, more accurate regression forests using tree alternating optimization
Arman Zharmagambetov · Miguel Carreira-Perpinan
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
Basil Saeed · Snigdha Panigrahi · Caroline Uhler
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt · Maximilian Granz · Tim Landgraf
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
LowFER: Low-rank Bilinear Pooling for Link Prediction
Saadullah Amin · Stalin Varanasi · Katherine Ann Dunfield · Günter Neumann
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Optimization and Analysis of the pAp@k Metric for Recommender Systems
Gaurush Hiranandani · Warut Vijitbenjaronk · Sanmi Koyejo · Prateek Jain
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
TaskNorm: Rethinking Batch Normalization for Meta-Learning
John Bronskill · Jonathan Gordon · James Requeima · Sebastian Nowozin · Richard E Turner
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Multi-Step Greedy Reinforcement Learning Algorithms
Manan Tomar · Yonathan Efroni · Mohammad Ghavamzadeh
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning disconnected manifolds: a no GAN's land
Ugo Tanielian · Thibaut Issenhuth · Elvis Dohmatob · Jeremie Mary
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Meta-Learning with Shared Amortized Variational Inference
Ekaterina Iakovleva · Karteek Alahari · Jakob Verbeek
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay
REDA ALAMI · Odalric-Ambrym Maillard · Raphaël Féraud
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Constructive universal distribution generation through deep ReLU networks
Dmytro Perekrestenko · Stephan Müller · Helmut Bölcskei
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Ready Policy One: World Building Through Active Learning
Philip Ball · Jack Parker-Holder · Aldo Pacchiano · Krzysztof Choromanski · Stephen Roberts
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez · Jonathan Godwin · Tobias Pfaff · Rex (Zhitao) Ying · Jure Leskovec · Peter Battaglia
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
IPBoost – Non-Convex Boosting via Integer Programming
Sebastian Pokutta · Marc Pfetsch
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Entropy Minimization In Emergent Languages
Eugene Kharitonov · Rahma Chaabouni · Diane Bouchacourt · Marco Baroni
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
A distributional view on multi objective policy optimization
Abbas Abdolmaleki · Sandy Huang · Leonard Hasenclever · Michael Neunert · Martina Zambelli · Murilo Martins · Francis Song · Nicolas Heess · Raia Hadsell · Martin Riedmiller
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning Portable Representations for High-Level Planning
Steven James · Benjamin Rosman · George Konidaris
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
Geoffrey Negiar · Gideon Dresdner · Alicia Yi-Ting Tsai · Laurent El Ghaoui · Francesco Locatello · Fabian Pedregosa
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
Yao Liu · Pierre-Luc Bacon · Emma Brunskill
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
On Contrastive Learning for Likelihood-free Inference
Conor Durkan · Iain Murray · George Papamakarios
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov · Pavel Shvechikov · Alexander Grishin · Dmitry Vetrov
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello · Ben Poole · Gunnar Raetsch · Bernhard Schölkopf · Olivier Bachem · Michael Tschannen
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Partial Trace Regression and Low-Rank Kraus Decomposition
Hachem Kadri · Stephane Ayache · Riikka Huusari · alain rakotomamonjy · Ralaivola Liva
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Word-Level Speech Recognition With a Letter to Word Encoder
Ronan Collobert · Awni Hannun · Gabriel Synnaeve
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Bayesian Sparsification of Deep C-valued Networks
Ivan Nazarov · Evgeny Burnaev
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Normalizing Flows on Tori and Spheres
Danilo J. Rezende · George Papamakarios · Sebastien Racaniere · Michael Albergo · Gurtej Kanwar · Phiala Shanahan · Kyle Cranmer
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Tomer Golany · Kira Radinsky · Daniel Freedman
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Learning the piece-wise constant graph structure of a varying Ising model
Batiste Le Bars · Pierre Humbert · Argyris Kalogeratos · Nicolas Vayatis
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
The role of regularization in classification of high-dimensional noisy Gaussian mixture
Francesca Mignacco · Florent Krzakala · Yue Lu · Pierfrancesco Urbani · Lenka Zdeborova
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network
Joost van Amersfoort · Lewis Smith · Yee Whye Teh · Yarin Gal
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines
Allan Grønlund · Lior Kamma · Kasper Green Larsen
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
Aleksei Petrenko · Zhehui Huang · Tushar Kumar · Gaurav Sukhatme · Vladlen Koltun
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Gellért Weisz · Tor Lattimore · Csaba Szepesvari
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle · Gintare Karolina Dziugaite · Daniel Roy · Michael Carbin
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Meta-learning with Stochastic Linear Bandits
Leonardo Cella · Alessandro Lazaric · Massimiliano Pontil
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions
Ahmed Alaa · Mihaela van der Schaar
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Constant Curvature Graph Convolutional Networks
Gregor Bachmann · Gary Becigneul · Octavian Ganea
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Latent Space Factorisation and Manipulation via Matrix Subspace Projection
Xiao Li · Chenghua Lin · Ruizhe Li · Chaozheng Wang · Frank Guerin
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Marc Brockschmidt
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Equivariant Flows: exact likelihood generative learning for symmetric densities.
Jonas Köhler · Leon Klein · Frank Noe
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Quantile Causal Discovery
Natasa Tagasovska · Thibault Vatter · Valérie Chavez-Demoulin
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Inexact Tensor Methods with Dynamic Accuracies
Nikita Doikov · Yurii Nesterov
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Sequential Transfer in Reinforcement Learning with a Generative Model
Andrea Tirinzoni · Riccardo Poiani · Marcello Restelli
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Optimal Randomized First-Order Methods for Least-Squares Problems
Jonathan Lacotte · Mert Pilanci
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Online Convex Optimization in the Random Order Model
Dan Garber · Gal Korcia · Kfir Levy
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Graph Random Neural Features for Distance-Preserving Graph Representations
Daniele Zambon · Cesare Alippi · Lorenzo Livi
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization
Hien Le · Nicolas Gillis · Panagiotis Patrinos
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
Umut Simsekli · Lingjiong Zhu · Yee Whye Teh · Mert Gurbuzbalaban
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
David Stutz · Matthias Hein · Bernt Schiele
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Predictive Sampling with Forecasting Autoregressive Models
Auke Wiggers · Emiel Hoogeboom
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Implicit differentiation of Lasso-type models for hyperparameter optimization
Quentin Bertrand · Quentin Klopfenstein · Mathieu Blondel · Samuel Vaiter · Alexandre Gramfort · Joseph Salmon
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Growing Action Spaces
Gregory Farquhar · Laura Gustafson · Zeming Lin · Shimon Whiteson · Nicolas Usunier · Gabriel Synnaeve
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
An Explicitly Relational Neural Network Architecture
Murray Shanahan · Kyriacos Nikiforou · Antonia Creswell · Christos Kaplanis · David GT Barrett · Marta Garnelo
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Bayesian Differential Privacy for Machine Learning
Aleksei Triastcyn · Boi Faltings
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Temporal Logic Point Processes
Shuang Li · Lu Wang · Ruizhi Zhang · xiaofu Chang · Xuqin Liu · Yao Xie · Yuan Qi · Le Song
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
Yaniv Blumenfeld · Dar Gilboa · Daniel Soudry
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
Pierre Laforgue · Alex Lambert · Luc Brogat-Motte · Florence d'Alche-Buc
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Non-Stationary Bandits with Intermediate Observations
Claire Vernade · András György · Timothy Mann
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Joeri Hermans · Volodimir Begy · Gilles Louppe
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
StochasticRank: Global Optimization of Scale-Free Discrete Functions
Aleksei Ustimenko · Liudmila Prokhorenkova
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Adaptive Sampling for Estimating Probability Distributions
Shubhanshu Shekhar · Tara Javidi · Mohammad Ghavamzadeh
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Generalization to New Actions in Reinforcement Learning
Ayush Jain · Andrew Szot · Joseph Lim
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Supervised learning: no loss no cry
Richard Nock · Aditya Menon
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Extreme Multi-label Classification from Aggregated Labels
Yanyao Shen · Hsiang-Fu Yu · Sujay Sanghavi · Inderjit Dhillon
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Debiased Sinkhorn barycenters
Hicham Janati · Marco Cuturi · Alexandre Gramfort
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Improving Molecular Design by Stochastic Iterative Target Augmentation
Kevin Yang · Wengong Jin · Kyle Swanson · Regina Barzilay · Tommi Jaakkola
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
On the Iteration Complexity of Hypergradient Computations
Riccardo Grazzi · Saverio Salzo · Massimiliano Pontil · Luca Franceschi
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning
Alexander Vezhnevets · Yuhuai Wu · Maria Eckstein · Rémi Leblond · Joel Z Leibo
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
Amir Zandieh · David Woodruff
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Infinite attention: NNGP and NTK for deep attention networks
Jiri Hron · Yasaman Bahri · Jascha Sohl-Dickstein · Roman Novak
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Why Are Learned Indexes So Effective?
Paolo Ferragina · Fabrizio Lillo · Giorgio Vinciguerra
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Fast Differentiable Sorting and Ranking
Mathieu Blondel · Olivier Teboul · Quentin Berthet · Josip Djolonga
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Knowing The What But Not The Where in Bayesian Optimization
Vu Nguyen · Michael A Osborne
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Optimal Estimator for Unlabeled Linear Regression
hang zhang · Ping Li
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation
Reinhard Heckel · Mahdi Soltanolkotabi
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Thompson Sampling via Local Uncertainty
Zhendong Wang · Mingyuan Zhou
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
Asaf Cassel · Alon Cohen · Tomer Koren
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Why bigger is not always better: on finite and infinite neural networks
Laurence Aitchison
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure
John Sipple
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Decentralised Learning with Random Features and Distributed Gradient Descent
Dominic Richards · Patrick Rebeschini · Lorenzo Rosasco
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Learning Similarity Metrics for Numerical Simulations
Georg Kohl · Kiwon Um · Nils Thuerey
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Finding trainable sparse networks through Neural Tangent Transfer
Tianlin Liu · Friedemann Zenke
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Training Neural Networks for and by Interpolation
Leonard Berrada · M. Pawan Kumar · Andrew Zisserman
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
Mohamed El Amine Seddik · Cosme Louart · Mohamed Tamaazousti · Romain COUILLET
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Simple and sharp analysis of k-means||
Vaclav Rozhon
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Continuously Indexed Domain Adaptation
Hao Wang · Hao He · Dina Katabi
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Learning Reasoning Strategies in End-to-End Differentiable Proving
Pasquale Minervini · Tim Rocktäschel · Sebastian Riedel · Edward Grefenstette · Pontus Stenetorp
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Voice Separation with an Unknown Number of Multiple Speakers
Eliya Nachmani · Yossi Adi · Lior Wolf
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Understanding and Estimating the Adaptability of Domain-Invariant Representations
Ching-Yao Chuang · Antonio Torralba · Stefanie Jegelka
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Unsupervised Speech Decomposition via Triple Information Bottleneck
Kaizhi Qian · Yang Zhang · Shiyu Chang · Mark Hasegawa-Johnson · David Cox
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
When deep denoising meets iterative phase retrieval
Yaotian Wang · Xiaohang Sun · Jason Fleischer
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Interferometric Graph Transform: a Deep Unsupervised Graph Representation
Edouard Oyallon
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Invertible generative models for inverse problems: mitigating representation error and dataset bias
Muhammad Asim · Max Daniels · Oscar Leong · Paul Hand · Ali Ahmed
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation
Nathan Kallus · Masatoshi Uehara
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Invariant Causal Prediction for Block MDPs
Clare Lyle · Amy Zhang · Angelos Filos · Shagun Sodhani · Marta Kwiatkowska · Yarin Gal · Doina Precup · Joelle Pineau
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Thompson Sampling Algorithms for Mean-Variance Bandits
Qiuyu Zhu · Vincent Tan
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics
Futoshi Futami · Issei Sato · Masashi Sugiyama
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang · Xilie Xu · Bo Han · Gang Niu · Lizhen Cui · Masashi Sugiyama · Mohan Kankanhalli
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space
Keizo Kato · Jing Zhou · Tomotake Sasaki · Akira Nakagawa
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Learning with Feature and Distribution Evolvable Streams
Zhen-Yu Zhang · Peng Zhao · Yuan Jiang · Zhi-Hua Zhou
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Logistic Regression for Massive Data with Rare Events
HaiYing Wang
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kaixuan Wei · Angelica I Aviles-Rivero · Jingwei Liang · Ying Fu · Carola-Bibiane Schönlieb · Hua Huang
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Kei Ota · Tomoaki Oiki · Devesh Jha · Toshisada Mariyama · Daniel Nikovski
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models
Yuta Saito · Shota Yasui
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
Pan Zhou · Xiao-Tong Yuan
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen · Haoliang Sun · Yingjun Du · Jun Xu · Yilong Yin · Ling Shao · Cees Snoek
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Efficiently Learning Adversarially Robust Halfspaces with Noise
Omar Montasser · Surbhi Goel · Ilias Diakonikolas · Nati Srebro
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
Jianing Li · Yanyan Lan · Jiafeng Guo · Xueqi Cheng
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
Shion Takeno · Hitoshi Fukuoka · Yuhki Tsukada · Toshiyuki Koyama · Motoki Shiga · Ichiro Takeuchi · Masayuki Karasuyama
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Intrinsic Reward Driven Imitation Learning via Generative Model
Xingrui Yu · Yueming LYU · Ivor Tsang
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Learning De-biased Representations with Biased Representations
Hyojin Bahng · SANGHYUK CHUN · Sangdoo Yun · Jaegul Choo · Seong Joon Oh
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Striving for simplicity and performance in off-policy DRL: Output Normalization and Non-Uniform Sampling
Che Wang · Yanqiu Wu · Quan Vuong · Keith Ross
Poster
Tue Jul 14 07:00 PM -- 07:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
dS^2LBI: Exploring Structural Sparsity on Deep Network via Differential Inclusion Paths
Yanwei Fu · Chen Liu · Donghao Li · Xinwei Sun · Jinshan ZENG · Yuan Yao
Poster
Tue Jul 14 07:00 PM -- 07:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels
Yu-Ting Chou · Gang Niu · Hsuan-Tien Lin · Masashi Sugiyama
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
Filipe de Avila Belbute-Peres · Thomas Economon · Zico Kolter
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto · Francis Song · Jack Rae · Razvan Pascanu · Caglar Gulcehre · Siddhant Jayakumar · Max Jaderberg · Raphael Lopez Kaufman · Aidan Clark · Seb Noury · Matthew Botvinick · Nicolas Heess · Raia Hadsell
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
Jiaoyang Huang · Horng-Tzer Yau
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Causal Modeling for Fairness In Dynamical Systems
Elliot Creager · David Madras · Toniann Pitassi · Richard Zemel
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm
Khiem Pham · Khang Le · Nhat Ho · Tung Pham · Hung Bui
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Robust Black Box Explanations Under Distribution Shift
Himabindu Lakkaraju · Nino Arsov · Osbert Bastani
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Privately Learning Markov Random Fields
Gautam Kamath · Janardhan Kulkarni · Steven Wu · Huanyu Zhang
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Online Bayesian Moment Matching based SAT Solver Heuristics
Haonan Duan · Saeed Nejati · George Trimponias · Pascal Poupart · Vijay Ganesh
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Learnable Group Transform For Time-Series
Romain Cosentino · Behnaam Aazhang
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Optimal Bounds between f-Divergences and Integral Probability Metrics
Rohit Agrawal · Thibaut Horel
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
The Differentiable Cross-Entropy Method
Brandon Amos · Denis Yarats
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Message Passing Least Squares: A Unified Framework for Fast and Robust Group Synchronization
Yunpeng Shi · Gilad Lerman
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
Zixin Zhong · Wang Chi Cheung · Vincent Tan
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
Debjani Saha · Candice Schumann · Duncan McElfresh · John P Dickerson · Michelle Mazurek · Michael Tschantz
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study
Siqiang Luo
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders
Reza Oftadeh · Jiayi Shen · Zhangyang Wang · Dylan Shell
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Population-Based Black-Box Optimization for Biological Sequence Design
Christof Angermueller · David Belanger · Andreea Gane · Zelda Mariet · David Dohan · Kevin Murphy · Lucy Colwell · D. Sculley
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Reinforcement Learning for Integer Programming: Learning to Cut
Yunhao Tang · Shipra Agrawal · Yuri Faenza
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
VFlow: More Expressive Generative Flows with Variational Data Augmentation
Jianfei Chen · Cheng Lu · Biqi Chenli · Jun Zhu · Tian Tian
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies
Hengrui Cai · Wenbin Lu · Rui Song
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Alexander Tong · Jessie Huang · Guy Wolf · David van Dijk · Smita Krishnaswamy
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript
Fangcheng Fu · Yuzheng Hu · Yihan He · Jiawei Jiang · Yingxia Shao · Ce Zhang · Bin Cui
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
Jie Xu · Yunsheng Tian · Pingchuan Ma · Daniela Rus · Shinjiro Sueda · Wojciech Matusik
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?
Hongchang Gao · Heng Huang
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers
Pierre C Bellec · Dana Yang
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Dan Fu · Mayee Chen · Frederic Sala · Sarah Hooper · Kayvon Fatahalian · Christopher Re
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Data preprocessing to mitigate bias: A maximum entropy based approach
Elisa Celis · Vijay Keswani · Nisheeth Vishnoi
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Preference modelling with context-dependent salient features
Amanda Bower · Laura Balzano
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Learning Quadratic Games on Networks
Yan Leng · Xiaowen Dong · Junfeng Wu · Alex `Sandy' Pentland
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
One Size Fits All: Can We Train One Denoiser for All Noise Levels?
Abhiram Gnanasambandam · Stanley Chan
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Ruixiang ZHANG · Katsuhiko Ishiguro · Masanori Koyama
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings
Mahmoud Assran · Michael Rabbat
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions
Bahareh Tolooshams · Andrew Song · Simona Temereanca · Demba Ba
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Instance-hiding Schemes for Private Distributed Learning
Yangsibo Huang · Zhao Song · Sanjeev Arora · Kai Li
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Efficient non-conjugate Gaussian process factor models for spike countdata using polynomial approximations
Stephen Keeley · David Zoltowski · Jonathan Pillow · Spencer Smith · Yiyi Yu
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Median Matrix Completion: from Embarrassment to Optimality
Weidong Liu · Xiaojun Mao · Raymond K. W. Wong
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data with RACE
Benjamin Coleman · Anshumali Shrivastava · Richard Baraniuk
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning
Tung-Che Liang · Zhanwei Zhong · Yaas Bigdeli · Tsung-Yi Ho · Richard Fair · Krishnendu Chakrabarty
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization
Ben Adlam · Jeffrey Pennington
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin · Regina Barzilay · Tommi Jaakkola
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar · David Sontag
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Accelerating Large-Scale Inference with Anisotropic Vector Quantization
Ruiqi Guo · Quan Geng · David Simcha · Felix Chern · Philip Sun · Erik Lindgren · Sanjiv Kumar
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Causal Effect Identifiability under Partial-Observability
Sanghack Lee · Elias Bareinboim
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Adversarial Risk via Optimal Transport and Optimal Couplings
Muni Sreenivas Pydi · Varun Jog
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Optimal approximation for unconstrained non-submodular minimization
Marwa El Halabi · Stefanie Jegelka
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
What can I do here? A Theory of Affordances in Reinforcement Learning
Khimya Khetarpal · Zafarali Ahmed · Gheorghe Comanici · David Abel · Doina Precup
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Learning What to Defer for Maximum Independent Sets
Sungsoo Ahn · Younggyo Seo · Jinwoo Shin
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Second-Order Provable Defenses against Adversarial Attacks
Sahil Singla · Soheil Feizi
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension
Aditya Krishnan · Roi Sinoff · Robert Krauthgamer · Vladimir Braverman
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Channel Equilibrium Networks for Learning Deep Representation
Wenqi Shao · Shitao Tang · Xingang Pan · Ping Tan · Xiaogang Wang · Ping Luo
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games
Darren Lin · Zhengyuan Zhou · Panayotis Mertikopoulos · Michael Jordan
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo · Zijian Wang · Zi Huang · Mahsa Baktashmotlagh
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Neural Architecture Search in a Proxy Validation Loss Landscape
Yanxi Li · Minjing Dong · Yunhe Wang · Chang Xu
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Efficient Intervention Design for Causal Discovery with Latents
Raghavendra Addanki · Shiva Kasiviswanathan · Andrew McGregor · Cameron Musco
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Variational Label Enhancement
Ning Xu · Yun-Peng Liu · Jun Shu · Xin Geng
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
An Accelerated DFO Algorithm for Finite-sum Convex Functions
Yuwen Chen · Antonio Orvieto · Aurelien Lucchi
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Abstraction Mechanisms Predict Generalization in Deep Neural Networks
Alex Gain · Hava Siegelmann
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Operation-Aware Soft Channel Pruning using Differentiable Masks
Minsoo Kang · Bohyung Han
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Sequential Cooperative Bayesian Inference
Junqi Wang · Pei Wang · Patrick Shafto
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Statistical Bias in Dataset Replication
Logan Engstrom · Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Jacob Steinhardt · Aleksander Madry
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Implicit Generative Modeling for Efficient Exploration
Neale Ratzlaff · Qinxun Bai · Fuxin Li · Wei Xu
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Label-Noise Robust Domain Adaptation
Xiyu Yu · Tongliang Liu · Mingming Gong · Kun Zhang · Kayhan Batmanghelich · Dacheng Tao
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Adaptive Estimator Selection for Off-Policy Evaluation
Yi Su · Pavithra Srinath · Akshay Krishnamurthy
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
On Learning Language-Invariant Representations for Universal Machine Translation
Han Zhao · Junjie Hu · Andrej Risteski
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
An Optimistic Perspective on Offline Deep Reinforcement Learning
Rishabh Agarwal · Dale Schuurmans · Mohammad Norouzi
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Robust Bayesian Classification Using An Optimistic Score Ratio
Viet Anh Nguyen · Nian Si · Jose Blanchet
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Learning Opinions in Social Networks
Vincent Conitzer · Debmalya Panigrahi · Hanrui Zhang
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Private Query Release Assisted by Public Data
Raef Bassily · Albert Cheu · Shay Moran · Aleksandar Nikolov · Jonathan Ullman · Steven Wu
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
Bo Han · Gang Niu · Xingrui Yu · QUANMING YAO · Miao Xu · Ivor Tsang · Masashi Sugiyama
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Fair k-Centers via Maximum Matching
Matthew Jones · Thy Nguyen · Huy Nguyen
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Moniqua: Modulo Quantized Communication in Decentralized SGD
Yucheng Lu · Christopher De Sa
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
Jingzhao Zhang · Hongzhou Lin · Stefanie Jegelka · Suvrit Sra · Ali Jadbabaie
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
On conditional versus marginal bias in multi-armed bandits
Jaehyeok Shin · Aaditya Ramdas · Alessandro Rinaldo
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers
Zinan Lin · Kiran Thekumparampil · Giulia Fanti · Sewoong Oh
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Learning and Evaluating Contextual Embedding of Source Code
Aditya Kanade · Petros Maniatis · Gogul Balakrishnan · Kensen Shi
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Structure Adaptive Algorithms for Stochastic Bandits
Rémy Degenne · Han Shao · Wouter Koolen
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Boosting Deep Neural Network Efficiency with Dual-Module Inference
Liu Liu · Lei Deng · Zhaodong Chen · yuke wang · Shuangchen Li · Jingwei Zhang · Yihua Yang · Zhenyu Gu · Yufei Ding · Yuan Xie
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Optimal transport mapping via input convex neural networks
Ashok Vardhan Makkuva · Amirhossein Taghvaei · Sewoong Oh · Jason Lee
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Efficient Policy Learning from Surrogate-Loss Classification Reductions
Andrew Bennett · Nathan Kallus
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
Anurag Kumar · Vamsi Krishna Ithapu
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
Jesse Zhang · Brian Cheung · Chelsea Finn · Sergey Levine · Dinesh Jayaraman
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Learning to Score Behaviors for Guided Policy Optimization
Aldo Pacchiano · Jack Parker-Holder · Yunhao Tang · Krzysztof Choromanski · Anna Choromanska · Michael Jordan
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Planning to Explore via Latent Disagreement
Ramanan Sekar · Oleh Rybkin · Kostas Daniilidis · Pieter Abbeel · Danijar Hafner · Deepak Pathak
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory
Zhou Fan · Cheng Mao · Yihong Wu · Jiaming Xu
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Sample Amplification: Increasing Dataset Size even when Learning is Impossible
Brian Axelrod · Shivam Garg · Vatsal Sharan · Gregory Valiant
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Negative Sampling in Semi-Supervised learning
John Chen · Vatsal Shah · Anastasios Kyrillidis
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Imputer: Sequence Modelling via Imputation and Dynamic Programming
William Chan · Chitwan Saharia · Geoffrey Hinton · Mohammad Norouzi · Navdeep Jaitly
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
On Coresets for Regularized Regression
Rachit Chhaya · Supratim Shit · Anirban Dasgupta
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Predictive Multiplicity in Classification
Charles Marx · Flavio Calmon · Berk Ustun
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Approximation Capabilities of Neural ODEs and Invertible Residual Networks
Han Zhang · Xi Gao · Jacob Unterman · Tomasz Arodz
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Understanding Self-Training for Gradual Domain Adaptation
Ananya Kumar · Tengyu Ma · Percy Liang
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Identifying the Reward Function by Anchor Actions
Sinong Geng · Houssam Nassif · Carlos Manzanares · Max Reppen · Ronnie Sircar
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Sets Clustering
Ibrahim Jubran · Murad Tukan · Alaa Maalouf · Dan Feldman
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Robust Outlier Arm Identification
Yinglun Zhu · Sumeet Katariya · Robert Nowak
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo · Yaofo Chen · Yin Zheng · Peilin Zhao · Jian Chen · Junzhou Huang · Mingkui Tan
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Undirected Graphical Models as Approximate Posteriors
Arash Vahdat · Evgeny Andriyash · William Macready
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix
Insu Han · Haim Avron · Jinwoo Shin
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent
Surbhi Goel · Aravind Gollakota · Zhihan Jin · Sushrut Karmalkar · Adam Klivans
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
Yunwen Lei · Yiming Ying
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Frustratingly Simple Few-Shot Object Detection
Xin Wang · Thomas Huang · Joseph Gonzalez · Trevor Darrell · Fisher Yu
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Communication-Efficient Distributed PCA by Riemannian Optimization
Long-Kai Huang · Jialin Pan
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Inductive Relation Prediction by Subgraph Reasoning
Komal Teru · Etienne Denis · Will Hamilton
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Sparse Shrunk Additive Models
Hong Chen · guodong liu · Heng Huang
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Randomly Projected Additive Gaussian Processes for Regression
Ian Delbridge · David S Bindel · Andrew Wilson
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Adversarial Filters of Dataset Biases
Ronan Le Bras · Swabha Swayamdipta · Chandra Bhagavatula · Rowan Zellers · Matthew Peters · Ashish Sabharwal · Yejin Choi
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
(Locally) Differentially Private Combinatorial Semi-Bandits
Xiaoyu Chen · Kai Zheng · Zixin Zhou · Yunchang Yang · Wei Chen · Liwei Wang
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Stochastic Gradient and Langevin Processes
Xiang Cheng · Dong Yin · Peter Bartlett · Michael Jordan
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network
Javier Turek · Shailee Jain · Vy Vo · Mihai Capotă · Alexander Huth · Theodore Willke
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks
Ahmed T. Elthakeb · Prannoy Pilligundla · FatemehSadat Mireshghallah · Alexander Cloninger · Hadi Esmaeilzadeh
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Decoupled Greedy Learning of CNNs
Eugene Belilovsky · Michael Eickenberg · Edouard Oyallon
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Online mirror descent and dual averaging: keeping pace in the dynamic case
Huang Fang · Victor Sanches Portella · Nick Harvey · Michael Friedlander
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Self-Modulating Nonparametric Event-Tensor Factorization
Zheng Wang · Xinqi Chu · Shandian Zhe
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Alleviating Privacy Attacks via Causal Learning
Shruti Tople · Amit Sharma · Aditya Nori
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Coresets for Clustering in Graphs of Bounded Treewidth
Daniel Baker · Vladimir Braverman · Lingxiao Huang · Shaofeng H.-C. Jiang · Robert Krauthgamer · Xuan Wu
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Exploration Through Bias: Revisiting Biased Maximum Likelihood Estimation in Stochastic Multi-Armed Bandits
Xi Liu · Ping-Chun Hsieh · Yu Heng Hung · Anirban Bhattacharya · P. Kumar
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Adversarial Mutual Information for Text Generation
Boyuan Pan · Yazheng Yang · Kaizhao Liang · Bhavya Kailkhura · Zhongming Jin · Xian-Sheng Hua · Deng Cai · Bo Li
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
A general recurrent state space framework for modeling neural dynamics during decision-making
David Zoltowski · Jonathan Pillow · Scott Linderman
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Choice Set Optimization Under Discrete Choice Models of Group Decisions
Kiran Tomlinson · Austin Benson
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Representing Unordered Data Using Multiset Automata and Complex Numbers
Justin DeBenedetto · David Chiang
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Class-Weighted Classification: Trade-offs and Robust Approaches
Ziyu Xu · Chen Dan · Justin Khim · Pradeep Ravikumar
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Budgeted Online Influence Maximization
Pierre Perrault · Zheng Wen · Michal Valko · Jennifer Healey
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Individual Calibration with Randomized Forecasting
Shengjia Zhao · Tengyu Ma · Stefano Ermon
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Black-box Certification and Learning under Adversarial Perturbations
Hassan Ashtiani · Vinayak Pathak · Ruth Urner
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
Wang Chi Cheung · David Simchi-Levi · Ruihao Zhu
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh · Amar Phanishayee · Onur Mutlu · Phillip Gibbons
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Proper Network Interpretability Helps Adversarial Robustness in Classification
Akhilan Boopathy · Sijia Liu · Gaoyuan Zhang · Cynthia Liu · Pin-Yu Chen · Shiyu Chang · Luca Daniel
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Predicting deliberative outcomes
Vikas K Garg · Tommi Jaakkola
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai · Ziyu Wang · David Wipf
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Cluster for Extreme Multi-label Text Classification
Hui Ye · Zhiyu Chen · Da-Han Wang · Brian D Davison
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee · Younggyo Seo · Seunghyun Lee · Honglak Lee · Jinwoo Shin
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Outsourced Bayesian Optimization
Dmitrii Kharkovskii · Zhongxiang Dai · Bryan Kian Hsiang Low
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
Florian Tramer · Jens Behrmann · Nicholas Carlini · Nicolas Papernot · Joern-Henrik Jacobsen
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
Vidyashankar Sivakumar · Steven Wu · Arindam Banerjee
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Optimizing Black-box Metrics with Adaptive Surrogates
Qijia Jiang · Olaoluwa Adigun · Harikrishna Narasimhan · Mahdi Milani Fard · Maya Gupta
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson · Stefanie Jegelka · Suvrit Sra
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Safe screening rules for L0-regression
Alper Atamturk · Andres Gomez
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Circuit-Based Intrinsic Methods to Detect Overfitting
Satrajit Chatterjee · Alan Mishchenko
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
On the consistency of top-k surrogate losses
Forest Yang · Sanmi Koyejo
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
Mingjie Li · Lingshen He · Zhouchen Lin
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Hallucinative Topological Memory for Zero-Shot Visual Planning
Thanard Kurutach · Kara Liu · Aviv Tamar · Pieter Abbeel · Christine Tung
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
Cong Shen · Zhiyang Wang · Sofia Villar · Mihaela van der Schaar
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Accountable Off-Policy Evaluation via a Kernelized Bellman Statistics
Yihao Feng · Tongzheng Ren · Ziyang Tang · Qiang Liu
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Robust Multi-Agent Decision-Making with Heavy-Tailed Payoffs
Abhimanyu Dubey · Alex `Sandy' Pentland
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
Trevor Davis · Martin Schmid · Michael Bowling
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations
Robert Mattila · Cristian R. Rojas · Eric Moulines · Vikram Krishnamurthy · Bo Wahlberg
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Dual Mirror Descent for Online Allocation Problems
Haihao Lu · Santiago Balseiro · Vahab Mirrokni
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
Esther Rolf · Max Simchowitz · Sarah Dean · Lydia T. Liu · Daniel Bjorkegren · University of California Moritz Hardt · Joshua Blumenstock
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Adversarial Robustness Against the Union of Multiple Threat Models
Pratyush Maini · Eric Wong · Zico Kolter
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Optimal Sequential Maximization: One Interview is Enough!
Moein Falahatgar · Alon Orlitsky · Venkatadheeraj Pichapati
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Ordinal Non-negative Matrix Factorization for Recommendation
Olivier Gouvert · Thomas Oberlin · Cedric Fevotte
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Set Functions for Time Series
Max Horn · Michael Moor · Christian Bock · Bastian Rieck · Karsten Borgwardt
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Provable Self-Play Algorithms for Competitive Reinforcement Learning
Yu Bai · Chi Jin
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Binghong Chen · Chengtao Li · Hanjun Dai · Le Song
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Flexible and Efficient Long-Range Planning Through Curious Exploration
Aidan Curtis · Minjian Xin · Dilip Arumugam · Kevin Feigelis · Daniel Yamins
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Lingkai Kong · Jimeng Sun · Chao Zhang
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers
Yonatan Dukler · Quanquan Gu · Guido Montufar
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Margin-aware Adversarial Domain Adaptation with Optimal Transport
Sofien Dhouib · Ievgen Redko · Carole Lartizien
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Jize Zhang · Bhavya Kailkhura · T. Yong-Jin Han
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe · Chris Hesse · Jacob Hilton · John Schulman
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth
Yiping Lu · Chao Ma · Yulong Lu · Jianfeng Lu · Lexing Ying
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Structural Language Models of Code
Uri Alon · Roy Sadaka · Omer Levy · Eran Yahav
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Analyzing the effect of neural network architecture on training performance
Karthik Abinav Sankararaman · Soham De · Zheng Xu · W. Ronny Huang · Tom Goldstein
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
A Game Theoretic Perspective on Model-Based Reinforcement Learning
Aravind Rajeswaran · Igor Mordatch · Vikash Kumar
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Learning Representations that Support Extrapolation
Taylor Webb · Zachary Dulberg · Steven Frankland · Alexander Petrov · Randall O'Reilly · Jonathan Cohen
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Self-supervised Label Augmentation via Input Transformations
Hankook Lee · Sung Ju Hwang · Jinwoo Shin
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
How to Solve Fair k-Center in Massive Data Models
Ashish Chiplunkar · Sagar Kale · Sivaramakrishnan Natarajan Ramamoorthy
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Hierarchical Verification for Adversarial Robustness
Cong Han Lim · Raquel Urtasun · Ersin Yumer
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Efficiently Solving MDPs with Stochastic Mirror Descent
Yujia Jin · Aaron Sidford
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Hypernetwork approach to generating point clouds
Przemysław Spurek · Sebastian Winczowski · Jacek Tabor · Maciej Zamorski · Maciej Zieba · Tomasz Trzcinski
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Time-Consistent Self-Supervision for Semi-Supervised Learning
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Quantized Decentralized Stochastic Learning over Directed Graphs
Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Data Valuation using Reinforcement Learning
Jinsung Yoon · Sercan Arik · Tomas Pfister
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-Layer Networks
Mert Pilanci · Tolga Ergen
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Stochastic bandits with arm-dependent delays
Anne Gael Manegueu · Claire Vernade · Alexandra Carpentier · Michal Valko
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Mike Dusenberry · Ghassen Jerfel · Yeming Wen · Yian Ma · Jasper Snoek · Katherine Heller · Balaji Lakshminarayanan · Dustin Tran
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
NetGAN without GAN: From Random Walks to Low-Rank Approximations
Luca Rendsburg · Holger Heidrich · Ulrike von Luxburg
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Continuous-time Lower Bounds for Gradient-based Algorithms
Michael Muehlebach · Michael Jordan
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Small-GAN: Speeding up GAN Training using Core-Sets
Samrath Sinha · Han Zhang · Anirudh Goyal · Yoshua Bengio · Hugo Larochelle · Augustus Odena
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
Liangyu Zhu · Wenbin Lu · Rui Song
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
Changhee Lee · Mihaela van der Schaar
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Learning to Simulate and Design for Structural Engineering
Kai-Hung Chang · Chin-Yi Cheng
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons
Wenbo Ren · Jia Liu · Ness Shroff
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
AdaScale SGD: A User-Friendly Algorithm for Distributed Training
Tyler Johnson · Pulkit Agrawal · Haijie Gu · Carlos Guestrin
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Evolutionary Topology Search for Tensor Network Decomposition
Chao Li · Zhun Sun
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Single Point Transductive Prediction
Nilesh Tripuraneni · Lester Mackey
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Handling the Positive-Definite Constraint in the Bayesian Learning Rule
Wu Lin · Mark Schmidt · Mohammad Emtiyaz Khan
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Batch Stationary Distribution Estimation
Junfeng Wen · Bo Dai · Lihong Li · Dale Schuurmans
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
Angelos Filos · Panagiotis Tigas · Rowan McAllister · Nicholas Rhinehart · Sergey Levine · Yarin Gal
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Test-Time Training for Generalization under Distribution Shifts
Yu Sun · Xiaolong Wang · Zhuang Liu · John Miller · Alexei Efros · University of California Moritz Hardt
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Fast computation of Nash Equilibria in Imperfect Information Games
Remi Munos · Julien Perolat · Jean-Baptiste Lespiau · Mark Rowland · Bart De Vylder · Marc Lanctot · Finbarr Timbers · Daniel Hennes · Shayegan Omidshafiei · Audrunas Gruslys · Mohammad Gheshlaghi Azar · Edward Lockhart · Karl Tuyls
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan · Albert Tseng · Yisong Yue · Adith Swaminathan · Matthew Hausknecht
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Correlation Clustering with Asymmetric Classification Errors
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Provable Representation Learning for Imitation Learning via Bi-level Optimization
Sanjeev Arora · Simon Du · Sham Kakade · Yuping Luo · Nikunj Umesh Saunshi
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Markos Georgopoulos · Grigorios Chrysos · Yannis Panagakis · Maja Pantic
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
“Other-Play” for Zero-Shot Coordination
Hengyuan Hu · Alexander Peysakhovich · Adam Lerer · Jakob Foerster
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
PolyGen: An Autoregressive Generative Model of 3D Meshes
Charlie Nash · Yaroslav Ganin · S. M. Ali Eslami · Peter Battaglia
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Learning Near Optimal Policies with Low Inherent Bellman Error
Andrea Zanette · Alessandro Lazaric · Mykel Kochenderfer · Emma Brunskill
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Option Discovery in the Absence of Rewards with Manifold Analysis
Amitay Bar · Ronen Talmon · Ron Meir
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Multidimensional Shape Constraints
Maya Gupta · Erez Louidor · Oleksandr Mangylov · Nobu Morioka · Tamann Narayan · Sen Zhao
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Feature Selection using Stochastic Gates
Yutaro Yamada · Ofir Lindenbaum · Sahand Negahban · Yuval Kluger
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Revisiting Fundamentals of Experience Replay
William Fedus · Prajit Ramachandran · Rishabh Agarwal · Yoshua Bengio · Hugo Larochelle · Mark Rowland · Will Dabney
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach · Gilad Yehudai · Shai Shalev-Schwartz · Ohad Shamir
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
Pan Xu · Quanquan Gu
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
Hadrien Hendrikx · Lin Xiao · Sebastien Bubeck · Francis Bach · Laurent Massoulié
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Fairwashing explanations with off-manifold detergent
Christopher Anders · Ann-Kathrin Dombrowski · Klaus-robert Mueller · Pan Kessel · Plamen Pasliev
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Adaptive Gradient Descent without Descent
Konstantin Mishchenko · Yura Malitsky
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Gamification of Pure Exploration for Linear Bandits
Rémy Degenne · Pierre Menard · Xuedong Shang · Michal Valko
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
PackIt: A Virtual Environment for Geometric Planning
Ankit Goyal · Jia Deng
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
The Implicit and Explicit Regularization Effects of Dropout
Colin Wei · Sham Kakade · Tengyu Ma
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
DeBayes: a Bayesian method for debiasing network embeddings
Maarten Buyl · Tijl De Bie
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
A Geometric Approach to Archetypal Analysis via Sparse Projections
Vinayak Abrol · Pulkit Sharma
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
The Shapley Taylor Interaction Index
Mukund Sundararajan · Kedar Dhamdhere · Ashish Agarwal
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime
Stéphane d'Ascoli · Maria Refinetti · Giulio Biroli · Florent Krzakala
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
On the Number of Linear Regions of Convolutional Neural Networks
Huan Xiong · Lei Huang · Mengyang Yu · Li Liu · Fan Zhu · Ling Shao
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Encoding Musical Style with Transformer Autoencoders
Kristy Choi · Curtis Hawthorne · Ian Simon · Monica Dinculescu · Jesse Engel
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
From Local SGD to Local Fixed Point Methods for Federated Learning
Grigory Malinovsky · Dmitry Kovalev · Elnur Gasanov · Laurent CONDAT · Peter Richtarik
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Deep Gaussian Markov Random Fields
Per Sidén · Fredrik Lindsten
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Robust Graph Representation Learning via Neural Sparsification
Cheng Zheng · Bo Zong · Wei Cheng · Dongjin Song · Jingchao Ni · Wenchao Yu · Haifeng Chen · Wei Wang
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
Yuan Zhou · Hongseok Yang · Yee Whye Teh · Tom Rainforth
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Estimating Model Uncertainty of Neural Network in Sparse Information Form
Jongseok Lee · Matthias Humt · Jianxiang Feng · Rudolph Triebel
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders
Alexey Drutsa
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
Marc Abeille · Alessandro Lazaric
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
Qi Wang · Herke van Hoof
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
Rob Cornish · Anthony Caterini · George Deligiannidis · Arnaud Doucet
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Optimal Continual Learning has Perfect Memory and is NP-hard
Jeremias Knoblauch · Hisham Husain · Tom Diethe
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Implicit Regularization of Random Feature Models
Arthur Jacot · berfin simsek · Francesco Spadaro · Clement Hongler · Franck Gabriel
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Scalable Exact Inference in Multi-Output Gaussian Processes
Wessel Bruinsma · Eric Perim Martins · William Tebbutt · Scott Hosking · Arno Solin · Richard E Turner
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition
Kareem Aggour · Kareem Aggour · Bülent Yener
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Robert Peharz · Steven Lang · Antonio Vergari · Karl Stelzner · Alejandro Molina · Martin Trapp · Guy Van den Broeck · Kristian Kersting · Zoubin Ghahramani
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
A new regret analysis for Adam-type algorithms
Ahmet Alacaoglu · Yura Malitsky · Panayotis Mertikopoulos · Volkan Cevher
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Deep Coordination Graphs
Wendelin Boehmer · Vitaly Kurin · Shimon Whiteson
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Adversarial Nonnegative Matrix Factorization
lei luo · yanfu Zhang · Heng Huang
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
Subho Banerjee · Saurabh Jha · Zbigniew Kalbarczyk · Ravishankar Iyer
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
Nathan Kallus
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Radioactive data: tracing through training
Alexandre Sablayrolles · Douze Matthijs · Cordelia Schmid · Herve Jegou
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
k-means++: few more steps yield constant approximation
Davin Choo · Christoph Grunau · Julian Portmann · Vaclav Rozhon
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Towards a General Theory of Infinite-Width Limits of Neural Classifiers
Eugene Golikov
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Ilai Bistritz · Tavor Z Baharav · Amir Leshem · Nicholas Bambos
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Saeed Amizadeh · Hamid Palangi · Oleksandr Polozov · Yichen Huang · Kazuhito Koishida
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Yehuda Dar · Paul Mayer · Lorenzo Luzi · Richard Baraniuk
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Omer Gottesman · Joseph Futoma · Yao Liu · Sonali Parbhoo · Leo Celi · Emma Brunskill · Finale Doshi-Velez
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Acceleration for Compressed Gradient Descent in Distributed Optimization
Zhize Li · Dmitry Kovalev · Xun Qian · Peter Richtarik
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
CoMic: Co-Training and Mimicry for Reusable Skills
Leonard Hasenclever · Fabio Pardo · Raia Hadsell · Nicolas Heess · Josh Merel
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Automatic Reparameterisation of Probabilistic Programs
Maria Gorinova · Dave Moore · Matthew Hoffman
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation
Konstantinos Pitas
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
No-Regret Exploration in Goal-Oriented Reinforcement Learning
Jean Tarbouriech · Evrard Garcelon · Michal Valko · Matteo Pirotta · Alessandro Lazaric
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Training Linear Neural Networks: Non-Local Convergence and Complexity Results
Armin Eftekhari
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov · Maxim Rakhuba · Menelaos Kanakis · Stamatios Georgoulis · Dengxin Dai · Luc Van Gool
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Convergence Rates of Variational Inference in Sparse Deep Learning
Badr-Eddine Chérief-Abdellatif
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Unique Properties of Wide Minima in Deep Networks
Rotem Mulayoff · Tomer Michaeli
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Equivariant Neural Rendering
Emilien Dupont · Miguel Angel Bautista Martin · Alex Colburn · Aditya Sankar · Joshua M Susskind · Qi Shan
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Curvature-corrected learning dynamics in deep neural networks
Dongsung Huh
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Learning to Encode Position for Transformer with Continuous Dynamical Model
Xuanqing Liu · Hsiang-Fu Yu · Inderjit Dhillon · Cho-Jui Hsieh
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
Hai Phan · My T. Thai · Han Hu · Ruoming Jin · Tong Sun · Dejing Dou
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
Zahra Monfared · Daniel Durstewitz
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Too Relaxed to Be Fair
Michael Lohaus · Michaël Perrot · Ulrike von Luxburg
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
Scott Pesme · Aymeric Dieuleveut · Nicolas Flammarion
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
The Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
Ramin Hasani · Mathias Lechner · Alexander Amini · Daniela Rus · Radu Grosu
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Adding seemingly uninformative labels helps in low data regimes
Christos Matsoukas · Albert Bou Hernandez · Yue Liu · Karin Dembrower · Gisele Miranda · Emir Konuk · Johan Fredin Haslum · Athanasios Zouzos · Peter Lindholm · Fredrik Strand · Kevin Smith
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Augmenting Continuous Time Bayesian Networks with Clocks
Nicolai Engelmann · Dominik Linzner · Heinz Koeppl
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Discriminative Adversarial Search for Abstractive Summarization
Thomas Scialom · Paul-Alexis Dray · Sylvain Lamprier · Benjamin Piwowarski · Jacopo Staiano
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach
Miles Lopes · Jessie X.T. Chen
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Involutive MCMC: One Way to Derive Them All
Kirill Neklyudov · Max Welling · Evgenii Egorov · Dmitry Vetrov
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Generalisation error in learning with random features and the hidden manifold model
Federica Gerace · Bruno Loureiro · Florent Krzakala · Marc Mezard · Lenka Zdeborova
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Implicit Geometric Regularization for Learning Shapes
Amos Gropp · Lior Yariv · Niv Haim · Matan Atzmon · Yaron Lipman
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Growing Adaptive Multi-hyperplane Machines
Nemanja Djuric · Zhuang Wang · Slobodan Vucetic
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
Csaba Toth · Harald Oberhauser
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Super-efficiency of automatic differentiation for functions defined as a minimum
Pierre Ablin · Gabriel Peyré · Thomas Moreau
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization
Vien Mai · Mikael Johansson
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Attentive Group Equivariant Convolutional Networks
David Romero · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Self-Attentive Hawkes Process
Qiang Zhang · Aldo Lipani · Omer Kirnap · Emine Yilmaz
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
William Wilkinson · Paul Chang · Michael Andersen · Arno Solin
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Quantum Boosting
Srinivasan Arunachalam · Reevu Maity
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge
Laura Rieger · Chandan Singh · William Murdoch · Bin Yu
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel · Rana Ali Amjad · Marinus van Baalen · Christos Louizos · Tijmen Blankevoort
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Rasheed El-Bouri · David Eyre · Peter Watkinson · Tingting Zhu · David Clifton
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Scalable and Efficient Comparison-based Search without Features
Daniyar Chumbalov · Lucas Maystre · Matthias Grossglauser
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Fast Adaptation to New Environments via Policy-Dynamics Value Functions
Roberta Raileanu · Max Goldstein · Arthur Szlam · Facebook Rob Fergus
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Angelos Katharopoulos · Apoorv Vyas · Nikolaos Pappas · Francois Fleuret
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
On the Generalization Benefit of Noise in Stochastic Gradient Descent
Samuel Smith · Erich Elsen · Soham De
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Boosting Frank-Wolfe by Chasing Gradients
Cyrille W. Combettes · Sebastian Pokutta
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Interference and Generalization in Temporal Difference Learning
Emmanuel Bengio · Joelle Pineau · Doina Precup
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
On the Sample Complexity of Adversarial Multi-Source PAC Learning
Nikola Konstantinov · Elias Frantar · Dan Alistarh · Christoph H. Lampert
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank · Thorsten Eisenhofer · Lea Schönherr · Dorothea Kolossa · Thorsten Holz · Asja Fischer
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasiia Koloskova · Nicolas Loizou · Sadra Boreiri · Martin Jaggi · Sebastian Stich
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems
Filip Hanzely · Dmitry Kovalev · Peter Richtarik
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
It's Not What Machines Can Learn, It's What We Cannot Teach
Gal Yehuda · Moshe Gabel · Assaf Schuster
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Lifted Disjoint Paths with Application in Multiple Object Tracking
Andrea Hornakova · Roberto Henschel · Bodo Rosenhahn · Paul Swoboda
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Healing Gaussian Process Experts
samuel cohen · Rendani Mbuvha · Tshilidzi Marwala · Marc Deisenroth
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce · Matthias Hein
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets
Guy Hacohen · Leshem Choshen · Daphna Weinshall
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs
Aditya Rajagopal · Diederik Vink · Stylianos Venieris · Christos-Savvas Bouganis
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
DeepCoDA: personalized interpretability for compositional health
Thomas Quinn · Dang Nguyen · Santu Rana · Sunil Gupta · Svetha Venkatesh
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
Zoltán Milacski · Barnabás Póczos · Andras Lorincz
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Small Data, Big Decisions: Model Selection in the Small-Data Regime
Jorg Bornschein · Francesco Visin · Simon Osindero
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Sparse Gaussian Processes with Spherical Harmonic Features
Vincent Dutordoir · Nicolas Durrande · James Hensman
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
Alberto Maria Metelli · Flavio Mazzolini · Lorenzo Bisi · Luca Sabbioni · Marcello Restelli
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Explicit Gradient Learning for Black-Box Optimization
Elad Sarafian · Mor Sinay · yoram louzoun · Noa Agmon · Sarit Kraus
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei · Mehdi Jafarnia · Haipeng Luo · Hiteshi Sharma · Rahul Jain
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
Vlad Niculae · Andre Filipe Torres Martins
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Haar Graph Pooling
Yuguang Wang · Ming Li · Zheng Ma · Guido Montufar · Xiaosheng Zhuang · Yanan Fan
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
Ioana Bica · Ahmed Alaa · Mihaela van der Schaar
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon · Jun Seo · Doyeon Kim · Jaekyun Moon
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
Chengcheng Wan · Henry (Hank) Hoffmann · Shan Lu · Michael Maire
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
MetaFun: Meta-Learning with Iterative Functional Updates
Jin Xu · Jean-Francois Ton · Hyunjik Kim · Adam Kosiorek · Yee Whye Teh
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Agent57: Outperforming the Atari Human Benchmark
Adrià Puigdomenech Badia · Bilal Piot · Steven Kapturowski · Pablo Sprechmann · Oleksandr Vitvitskyi · Zhaohan Guo · Charles Blundell
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
DINO: Distributed Newton-Type Optimization Method
Rixon Crane · Fred Roosta
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Statistically Efficient Off-Policy Policy Gradients
Nathan Kallus · Masatoshi Uehara
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Automated Synthetic-to-Real Generalization
Wuyang Chen · Zhiding Yu · Zhangyang Wang · Anima Anandkumar
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Michihiro Yasunaga · Percy Liang
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Zhiyu Yao · Yunbo Wang · Mingsheng Long · Jianmin Wang
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Adversarial Robustness via Runtime Masking and Cleansing
Yi-Hsuan Wu · Chia-Hung Yuan · Shan-Hung (Brandon) Wu
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Non-separable Non-stationary random fields
Kangrui Wang · Oliver Hamelijnck · Theodoros Damoulas · Mark Steel
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung · SeongUk Park · Kim Jangho · NOJUN KWAK
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Safe Reinforcement Learning in Constrained Markov Decision Processes
Akifumi Wachi · Yanan Sui
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics
Sai Ganesh Nagarajan · David Balduzzi · Georgios Piliouras
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Bidirectional Model-based Policy Optimization
Hang Lai · Jian Shen · Weinan Zhang · Yong Yu
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Online Dense Subgraph Discovery via Blurred-Graph Feedback
Yuko Kuroki · Atsushi Miyauchi · Junya Honda · Masashi Sugiyama
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Spread Divergence
Mingtian Zhang · Peter Hayes · Thomas Bird · Raza Habib · David Barber
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Boosted Histogram Transform for Regression
Yuchao Cai · Hanyuan Hang · Hanfang Yang · Zhouchen Lin
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Optimization from Structured Samples for Coverage Functions
Wei Chen · Xiaoming Sun · Jialin Zhang · Zhijie Zhang
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
On Relativistic f-Divergences
Alexia Jolicoeur-Martineau
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
On Lp-norm Robustness of Ensemble Decision Stumps and Trees
Yihan Wang · Huan Zhang · Hongge Chen · Duane Boning · Cho-Jui Hsieh
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Model-Agnostic Characterization of Fairness Trade-offs
Joon Kim · Jiahao Chen · Ameet Talwalkar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng · Jinshuo Dong · Qi Long · Weijie Su
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Transparency Promotion with Model-Agnostic Linear Competitors
Hassan Rafique · Tong Wang · Qihang Lin · Arshia Singhani
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Wenkai Xu · Tamara Fernandez · Nicolas Rivera · Arthur Gretton
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Calibration, Entropy Rates, and Memory in Language Models
Mark Braverman · Xinyi Chen · Sham Kakade · Karthik Narasimhan · Cyril Zhang · Yi Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
GANs May Have No Nash Equilibria
Farzan Farnia · Asuman Ozdaglar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Darren Lin · Chi Jin · Michael Jordan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Does label smoothing mitigate label noise?
Michal Lukasik · Srinadh Bhojanapalli · Aditya Menon · Sanjiv Kumar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Zhengyang Shen · Lingshen He · Zhouchen Lin · Jinwen Ma
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Robust Pricing in Dynamic Mechanism Design
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Rigging the Lottery: Making All Tickets Winners
Utku Evci · Trevor Gale · Jacob Menick · Pablo Samuel Castro · Erich Elsen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr Pong · Murtaza Dalal · Steven Lin · Ashvin Nair · Shikhar Bahl · Sergey Levine
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Performative Prediction
Juan Perdomo · Tijana Zrnic · Celestine Mendler-Dünner · University of California Moritz Hardt
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Enhancing Simple Models by Exploiting What They Already Know
Amit Dhurandhar · Karthikeyan Shanmugam · Ronny Luss
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bridging the Gap Between f-GANs and Wasserstein GANs
Jiaming Song · Stefano Ermon
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Yingyi Ma · Vignesh Ganapathiraman · Yaoliang Yu · Xinhua Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
On Breaking Deep Generative Model-based Defenses and Beyond
Yanzhi Chen · Renjie Xie · Zhanxing Zhu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Scalable Differentiable Physics for Learning and Control
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Concise Explanations of Neural Networks using Adversarial Training
Prasad Chalasani · Jiefeng Chen · Amrita Roy Chowdhury · Xi Wu · Somesh Jha
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Differentiable Product Quantization for Learning Compact Embedding Layers
Ting Chen · Lala Li · Yizhou Sun
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Constrained Markov Decision Processes via Backward Value Functions
Harsh Satija · Philip Amortila · Joelle Pineau
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Universal Asymptotic Optimality of Polyak Momentum
Damien Scieur · Fabian Pedregosa
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Improving Transformer Optimization Through Better Initialization
Xiao Shi Huang · Felipe Perez · Jimmy Ba · Maksims Volkovs
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning with Bounded Instance- and Label-dependent Label Noise
Jiacheng Cheng · Tongliang Liu · Kotagiri Ramamohanarao · Dacheng Tao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Edric Tam · David Dunson
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Reward-Free Exploration for Reinforcement Learning
Chi Jin · Akshay Krishnamurthy · Max Simchowitz · Tiancheng Yu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Upper bounds for Model-Free Row-Sparse Principal Component Analysis
Guanyi Wang · Santanu Dey
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu · Pan Mu · Xiaoming Yuan · Shangzhi Zeng · Jin Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
Debabrata Mahapatra · Vaibhav Rajan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Online Learning with Dependent Stochastic Feedback Graphs
Corinna Cortes · Giulia DeSalvo · Claudio Gentile · Mehryar Mohri · Ningshan Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
BINOCULARS for efficient, nonmyopic sequential experimental design
Shali Jiang · Henry Chai · Javier Gonzalez · Roman Garnett
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
Matthew Hoffman · Yian Ma
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Black-Box Methods for Restoring Monotonicity
Evangelia Gergatsouli · Brendan Lucier · Christos Tzamos
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
Kyriakos Axiotis · Maxim Sviridenko
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sequence Generation with Mixed Representations
Lijun Wu · Shufang Xie · Yingce Xia · Yang Fan · Jian-Huang Lai · Tao Qin · Tie-Yan Liu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning Robot Skills with Temporal Variational Inference
Tanmay Shankar · Abhinav Gupta
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
p-Norm Flow Diffusion for Local Graph Clustering
Kimon Fountoulakis · Di Wang · Shenghao Yang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Mapping natural-language problems to formal-language solutions using structured neural representations
Kezhen Chen · Qiuyuan Huang · Hamid Palangi · Paul Smolensky · Ken Forbus · Jianfeng Gao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras · Shibani Santurkar · Logan Engstrom · Andrew Ilyas · Aleksander Madry
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning
Yunhua Xiang · Noah Simon
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
Sudeep Salgia · Qing Zhao · Sattar Vakili
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms
Kaiyi Ji · Zhe Wang · Bowen Weng · Yi Zhou · Wei Zhang · Yingbin LIANG
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Estimation of Bounds on Potential Outcomes For Decision Making
Maggie Makar · Fredrik Johansson · John Guttag · David Sontag
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Interpreting Robust Optimization via Adversarial Influence Functions
Zhun Deng · Cynthia Dwork · Jialiang Wang · Linjun Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
Silviu Pitis · Harris Chan · Stephen Zhao · Bradly Stadie · Jimmy Ba
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon · Abdulkadir Canatar · Cengiz Pehlevan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu · Soumye Singhal · Florian Strub · Aaron Courville · Olivier Pietquin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Error-Bounded Correction of Noisy Labels
Songzhu Zheng · Pengxiang Wu · Aman Goswami · Mayank Goswami · Dimitris Metaxas · Chao Chen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Born-again Tree Ensembles
Thibaut Vidal · Maximilian Schiffer
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
Guangzeng Xie · Luo Luo · yijiang lian · Zhihua Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Reinforcement Learning with Smooth Policy
Qianli Shen · Yan Li · Haoming Jiang · Zhaoran Wang · Tuo Zhao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
On the Expressivity of Neural Networks for Deep Reinforcement Learning
Kefan Dong · Yuping Luo · Tianhe Yu · Chelsea Finn · Tengyu Ma
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Graph Homomorphism Convolution
Hoang Nguyen · Takanori Maehara
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
Yasutoshi Ida · Sekitoshi Kanai · Yasuhiro Fujiwara · Tomoharu Iwata · Koh Takeuchi · Hisashi Kashima
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim · Waïss Azizian · Gauthier Gidel · Ioannis Mitliagkas
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Reducing Sampling Error in Batch Temporal Difference Learning
Brahma Pavse · Ishan Durugkar · Josiah Hanna · Peter Stone
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
Shaocong Ma · Yi Zhou
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Chris Finlay · Joern-Henrik Jacobsen · Levon Nurbekyan · Adam Oberman
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Input-Sparsity Low Rank Approximation in Schatten Norm
Yi Li · David Woodruff
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
Jiabao Lei · Kui Jia
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Do RNN and LSTM have Long Memory?
Jingyu Zhao · Feiqing Huang · Jia Lv · Yanjie Duan · Zhen Qin · Guodong Li · Guangjian Tian
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Stochastic Flows and Geometric Optimization on the Orthogonal Group
Krzysztof Choromanski · David Cheikhi · Jared Q Davis · Valerii Likhosherstov · Achille Nazaret · Achraf Bahamou · Xingyou Song · Mrugank Akarte · Jack Parker-Holder · Jacob Bergquist · YUAN GAO · Aldo Pacchiano · Tamas Sarlos · Adrian Weller · Vikas Sindhwani
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
Rares-Darius Buhai · Yoni Halpern · Yoon Kim · Andrej Risteski · David Sontag
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Acceleration through spectral density estimation
Fabian Pedregosa · Damien Scieur
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
Blair Bilodeau · Dylan Foster · Daniel Roy
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On a projective ensemble approach to two sample test for equality of distributions
Zhimei Li · Yaowu Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Robustness to Programmable String Transformations via Augmented Abstract Training
Yuhao Zhang · Aws Albarghouthi · Loris D'Antoni
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching
Peisong Wang · Qiang Chen · Xiangyu He · Jian Cheng
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning the Valuations of a $k$-demand Agent
Hanrui Zhang · Vincent Conitzer
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
Tianju Xue · Alex Beatson · Sigrid Adriaenssens · Ryan P. Adams
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Provably Efficient Model-based Policy Adaptation
Yuda Song · Aditi Mavalankar · Wen Sun · Sicun Gao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
Florence Regol · Soumyasundar Pal · Yingxue Zhang · Mark Coates
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
A Pairwise Fair and Community-preserving Approach to k-Center Clustering
Brian Brubach · Darshan Chakrabarti · John P Dickerson · Samir Khuller · Aravind Srinivasan · Leonidas Tsepenekas
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Almost Tune-Free Variance Reduction
Bingcong Li · Lingda Wang · Georgios B. Giannakis
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Task Understanding from Confusing Multi-task Data
Xin Su · Yizhou Jiang · Shangqi Guo · Feng Chen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
Yuxin Wen · Shuai Li · Kui Jia
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
Huang Hengguan · Fuzhao Xue · Hao Wang · Ye Wang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Learning Attentive Meta-Transfer
Jaesik Yoon · Gautam Singh · Sungjin Ahn
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Tails of Lipschitz Triangular Flows
Priyank Jaini · Ivan Kobyzev · Yaoliang Yu · Marcus Brubaker
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj · Yoram Bresler · Bo Li
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Continuous Graph Neural Networks
Louis-Pascal Xhonneux · Meng Qu · Jian Tang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification
Hongyuan Mei · Guanghui Qin · Minjie Xu · Jason Eisner
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
Brian Zhang · Tuomas Sandholm
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
FR-Train: A mutual information-based approach to fair and robust training
Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Estimating Q(s,s') with Deterministic Dynamics Gradients
Ashley Edwards · Himanshu Sahni · Rosanne Liu · Jane Hung · Ankit Jain · Rui Wang · Adrien Ecoffet · Thomas Miconi · Charles Isbell · Jason Yosinski
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
T-GD: Transferable GAN-generated Images Detection Framework
Hyeonseong Jeon · Young Oh Bang · Junyaup Kim · Simon Woo
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Quoc Tran-Dinh · Nhan H Pham · Lam Nguyen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Understanding Contrastive Representation Learning through Geometry on the Hypersphere
Tongzhou Wang · Phillip Isola
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Meta Variance Transfer: Learning to Augment from the Others
Seong-Jin Park · Seungju Han · Ji-won Baek · Insoo Kim · Juhwan Song · Hae Beom Lee · Jae-Joon Han · Sung Ju Hwang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
Micah Goldblum · Liam Fowl · Renkun Ni · Steven Reich · Valeriia Cherepanova · Tom Goldstein
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Low-Rank Bottleneck in Multi-head Attention Models
Srinadh Bhojanapalli · Chulhee Yun · Ankit Singh Rawat · Sashank Jakkam Reddi · Sanjiv Kumar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Strategic Classification is Causal Modeling in Disguise
John Miller · Smitha Milli · University of California Moritz Hardt
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
PoKED: A Semi-Supervised System for Word Sense Disambiguation
Feng Wei
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Region-Based Active Learning
Corinna Cortes · Giulia DeSalvo · Claudio Gentile · Mehryar Mohri · Ningshan Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Latent Variable Modelling with Hyperbolic Normalizing Flows
Joey Bose · Ariella Smofsky · Renjie Liao · Prakash Panangaden · Will Hamilton
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
New Oracle-Efficient Algorithms for Private Synthetic Data Release
Giuseppe Vietri · Steven Wu · Mark Bun · Thomas Steinke · Grace Tian
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
Juntang Zhuang · Nicha Dvornek · Xiaoxiao Li · Sekhar Tatikonda · Xenophon Papademetris · James Duncan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan · Zeyu Jia · Mengdi Wang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Causal Inference using Gaussian Processes with Structured Latent Confounders
Sam Witty · Kenta Takatsu · David Jensen · Vikash Mansinghka
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards
Aadirupa Saha · Pierre Gaillard · Michal Valko
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Optimizing Dynamic Structures with Bayesian Generative Search
Minh Hoang · Carleton Kingsford
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Calibrated Surrogates for the Multi-Label F-Measure
Mingyuan Zhang · Harish Guruprasad Ramaswamy · Shivani Agarwal
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
Nina Balcan · Tuomas Sandholm · Ellen Vitercik
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning Selection Strategies in Buchberger’s Algorithm
Dylan Peifer · Michael Stillman · Daniel Halpern-Leistner
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Multi-Agent Routing Value Iteration Network
Quinlan Sykora · Mengye Ren · Raquel Urtasun
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Optimal Tree Models under Beam Search
Jingwei Zhuo · Ziru Xu · Wei Dai · Han Zhu · HAN LI · Jian Xu · Kun Gai
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
Daoli Zhu · Lei Zhao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Invariant Rationalization
Shiyu Chang · Yang Zhang · Mo Yu · Tommi Jaakkola
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Privately detecting changes in unknown distributions
Rachel Cummings · Sara Krehbiel · Yuliia Lut · Wanrong Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bandits for BMO Functions
Tianyu Wang · Cynthia Rudin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Optimal Statistical Guaratees for Adversarially Robust Gaussian Classification
Chen Dan · Yuting Wei · Pradeep Ravikumar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Adversarial Multi-task Representation Learning
YUREN MAO · Weiwei Liu · Xuemin Lin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu · Zheng Qin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
GraphOpt: Learning Optimization Models of Graph Formation
Rakshit Trivedi · Jiachen Yang · Hongyuan Zha
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Piecewise Linear Regression via a Difference of Convex Functions
Ali Siahkamari · Aditya Gangrade · Brian Kulis · Venkatesh Saligrama
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
Pengyu Cheng · Weituo Hao · Shuyang Dai · Jiachang Liu · Zhe Gan · Lawrence Carin
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov · Polina Kirichenko · Marc Finzi · Andrew Wilson
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
Zhe Feng · David Parkes · Haifeng Xu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
ConQUR: Mitigating Delusional Bias in Deep Q-Learning
DiJia Su · Jayden Ooi · Tyler Lu · Dale Schuurmans · Craig Boutilier
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
Zhongxiang Dai · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Teck-Hua Ho
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Improving generalization by controlling label-noise information in neural network weights
Hrayr Harutyunyan · Kyle Reing · Greg Ver Steeg · Aram Galstyan
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen · Yifei Min · Mingrui Zhang · Amin Karbasi
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Uniform Convergence of Rank-weighted Learning
Liu Leqi · Justin Khim · Adarsh Prasad · Pradeep Ravikumar
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Perceptual Generative Autoencoders
Zijun Zhang · Ruixiang ZHANG · Zongpeng Li · Yoshua Bengio · Liam Paull
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Goodness-of-Fit Tests for Inhomogeneous Random Graphs
Soham Dan · Bhaswar B. Bhattacharya
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie · Tero Karras · Animesh Garg · Shoubhik Debnath · Anjul Patney · Ankit Patel · Anima Anandkumar
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Goal-Aware Prediction: Learning to Model What Matters
Suraj Nair · Silvio Savarese · Chelsea Finn
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On Efficient Constructions of Checkpoints
Yu Chen · Zhenming LIU · Bin Ren · Xin Jin
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Sanghamitra Dutta · Dennis Wei · Hazar Yueksel · Pin-Yu Chen · Sijia Liu · Kush Varshney
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Amrita Roy Chowdhury · Theodoros Rekatsinas · Somesh Jha
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On hyperparameter tuning in general clustering problemsm
Xinjie Fan · Yuguang Yue · Purnamrita Sarkar · Y. X. Rachel Wang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Educating Text Autoencoders: Latent Representation Guidance via Denoising
Tianxiao Shen · Jonas Mueller · Regina Barzilay · Tommi Jaakkola
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Marko Vasic · Cameron Chalk · Sarfraz Khurshid · David Soloveichik
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
Lijun Ding · Yingjie Fei · Qiantong Xu · Chengrun Yang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Breaking the Curse of Many Agents: Provable Mean Embedding $Q$-Iteration for Mean-Field Reinforcement Learning
Lingxiao Wang · Zhuoran Yang · Zhaoran Wang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Generalization via Derandomization
Jeffrey Negrea · Daniel Roy · Gintare Karolina Dziugaite
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
No-Regret and Incentive-Compatible Online Learning
Rupert Freeman · David Pennock · Chara Podimata · Jennifer Wortman Vaughan
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Lorentz Group Equivariant Neural Network for Particle Physics
Alexander Bogatskiy · Brandon Anderson · Jan T Offermann · Marwah Roussi · David Miller · Risi Kondor
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia · Eugene Belilovsky · Massimo Caccia · Joelle Pineau
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Graph Structure of Neural Networks
Jiaxuan You · Kaiming He · Jure Leskovec · Saining Xie
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
Karl Stratos · Sam Wiseman
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin Yang · Mengdi Wang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learning with Imperfect Hints
Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Better depth-width trade-offs for neural networks through the lens of dynamical systems
Evangelos Chatziafratis · Ioannis Panageas · Sai Ganesh Nagarajan
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games
Youzhi Zhang · Bo An
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Denny Zhou · Mao Ye · Chen Chen · Mingxing Tan · Tianjian Meng · Xiaodan Song · Quoc Le · Qiang Liu · Dale Schuurmans
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
Xiang Jiang · Qicheng Lao · Stan Matwin · Mohammad Havaei
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma · Hanxun Huang · Yisen Wang · Simone Romano · Sarah Erfani · James Bailey
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Provable Smoothness Guarantees for Black-Box Variational Inference
Justin Domke
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
Nghia Hoang · Thanh Lam · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Optimal Transport for Cross-Domain Alignment
Liqun Chen · Zhe Gan · Yu Cheng · Linjie Li · Lawrence Carin · Jingjing Liu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Composing Molecules with Multiple Property Constraints
Wengong Jin · Regina Barzilay · Tommi Jaakkola
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Misra · Mikael Henaff · Akshay Krishnamurthy · John Langford
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Kun Xu · Chongxuan Li · Jun Zhu · Bo Zhang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao · Yulai Cong · Lawrence Carin
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Efficient Continuous Pareto Exploration in Multi-Task Learning
Pingchuan Ma · Tao Du · Wojciech Matusik
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Variational Inference for Sequential Data with Future Likelihood Estimates
Geon-Hyeong Kim · Youngsoo Jang · Hongseok Yang · Kee-Eung Kim
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model
Peng Wang · Zirui Zhou · Anthony Man-Cho So
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Momentum Improves Normalized SGD
Ashok Cutkosky · Harsh Mehta
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
Jeff Calder · Brendan Cook · Matthew Thorpe · Dejan Slepcev
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adversarial Attacks on Copyright Detection Systems
Parsa Saadatpanah · Ali Shafahi · Tom Goldstein
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Optimal Differential Privacy Composition for Exponential Mechanisms
Jinshuo Dong · David Durfee · Ryan Rogers
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
ACFlow: Flow Models for Arbitrary Conditional Likelihoods
Yang Li · Shoaib Akbar · Junier Oliva
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment
Feng Zhu · Zeyu Zheng
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang · Yuzhe Ma · Adish Singla · Jerry Zhu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False
Zehua Lai · Lek-Heng Lim
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Simultaneous Inference for Massive Data: Distributed Bootstrap
Yang Yu · Shih-Kang Chao · Guang Cheng
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Doubly robust off-policy evaluation with shrinkage
Yi Su · Maria Dimakopoulou · Akshay Krishnamurthy · Miroslav Dudik
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
Di Wang · Hanshen Xiao · Srinivas Devadas · Jinhui Xu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
Michael Zhu · Chang Liu · Jun Zhu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model
Ying Jin · Zhaoran Wang · Junwei Lu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Model-Based Reinforcement Learning with Value-Targeted Regression
Zeyu Jia · Lin Yang · Csaba Szepesvari · Mengdi Wang · Alex Ayoub
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images
Zhizhong Han · Chao Chen · Yushen Liu · Matthias Zwicker
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou · Hugo Berard · Alexia Jolicoeur-Martineau · Pascal Vincent · Simon Lacoste-Julien · Ioannis Mitliagkas
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Conditional Augmentation for Generative Modeling
Heewoo Jun · Rewon Child · Mark Chen · John Schulman · Aditya Ramesh · Alec Radford · Ilya Sutskever
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Time-aware Large Kernel Convolutions
Vasileios Lioutas · Yuhong Guo
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
Shengpu Tang · Aditya Modi · Michael Sjoding · Jenna Wiens
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Subhroshekhar Ghosh · Krishna Balasubramanian · Xiaochuan Yang
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
The Performance Analysis of Generalized Margin Maximizers on Separable Data
Fariborz Salehi · Ehsan Abbasi · Babak Hassibi
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Optimizing Data Usage via Differentiable Rewards
Xinyi Wang · Hieu Pham · Paul Michel · Antonios Anastasopoulos · Jaime Carbonell · Graham Neubig
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Momentum-Based Policy Gradient Methods
Feihu Huang · Shangqian Gao · Jian Pei · Heng Huang
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Wei Deng · Qi Feng · Liyao Gao · Faming Liang · Guang Lin
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim · Aaron Courville · Christopher Pal · Chin-Wei Huang
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Generalization and Representational Limits of Graph Neural Networks
Vikas K Garg · Stefanie Jegelka · Tommi Jaakkola
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
One-shot Distributed Ridge Regression in High Dimensions
Yue Sheng · Edgar Dobriban
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Zhishuai Guo · Mingrui Liu · Zhuoning Yuan · Li Shen · Wei Liu · Tianbao Yang
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
High-dimensional Robust Mean Estimation via Gradient Descent
Yu Cheng · Ilias Diakonikolas · Rong Ge · Mahdi Soltanolkotabi
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Defense Through Diverse Directions
Christopher Bender · Yang Li · Yifeng Shi · Michael K. Reiter · Junier Oliva
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Model Fusion with Kullback--Leibler Divergence
Sebastian Claici · Mikhail Yurochkin · Soumya Ghosh · Justin Solomon
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
Meng Qu · Tianyu Gao · Louis-Pascal Xhonneux · Jian Tang
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Emergence of Separable Manifolds in Deep Language Representations
Jonathan Mamou · Hang Le · Miguel A del Rio Fernandez · Cory Stephenson · Hanlin Tang · Yoon Kim · SueYeon Chung
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Gradient Temporal-Difference Learning with Regularized Corrections
Sina Ghiassian · Andrew Patterson · Shivam Garg · Dhawal Gutpa · Adam White · Martha White
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Pseudo-Masked Language Models for Unified Language Model Pre-Training
Hangbo Bao · Li Dong · Furu Wei · Wenhui Wang · Nan Yang · Xiaodong Liu · Yu Wang · Jianfeng Gao · Songhao Piao · Ming Zhou · Hsiao-Wuen Hon
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Coresets for Data-efficient Training of Machine Learning Models
Baharan Mirzasoleiman · Jeff Bilmes · Jure Leskovec
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
An Imitation Learning Approach for Cache Replacement
Evan Liu · Milad Hashemi · Kevin Swersky · Parthasarathy Ranganathan · Junwhan Ahn
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Domain Aggregation Networks for Multi-Source Domain Adaptation
Junfeng Wen · Russell Greiner · Dale Schuurmans
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Visual Grounding of Learned Physical Models
Yunzhu Li · Toru Lin · Kexin Yi · Daniel Bear · Daniel Yamins · Jiajun Wu · Josh Tenenbaum · Antonio Torralba
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Minimax Pareto Fairness: A Multi Objective Perspective
Martin Bertran · Natalia Martinez · Guillermo Sapiro
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
SGD Learns One-Layer Networks in WGANs
Qi Lei · Jason Lee · Alexandros Dimakis · Constantinos Daskalakis
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Mixtures of Graphs from Epidemic Cascades
Jessica Hoffmann · Soumya Basu · Surbhi Goel · Constantine Caramanis
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Yongchan Kwon · Wonyoung Kim · Joong-Ho Won · Myunghee Cho Paik
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Sparse Sinkhorn Attention
Yi Tay · Dara Bahri · Liu Yang · Don Metzler · Da-Cheng Juan
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Lu Jiang · Di Huang · Mason Liu · Weilong Yang
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Cost-effective Interactive Attention Learning with Neural Attention Process
Jay Heo · Junhyeon Park · Hyewon Jeong · Kwang Joon Kim · Juho Lee · Eunho Yang · Sung Ju Hwang
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
Zhe Dong · Bryan Seybold · Kevin Murphy · Hung Bui
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Human Objectives by Evaluating Hypothetical Behavior
Siddharth Reddy · Anca Dragan · Sergey Levine · Shane Legg · Jan Leike
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Generalized and Scalable Optimal Sparse Decision Trees
Jimmy Lin · Chudi Zhong · Diane Hu · Cynthia Rudin · Margo Seltzer
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Progressive Identification of True Labels for Partial-Label Learning
Jiaqi Lv · Miao Xu · LEI FENG · Gang Niu · Xin Geng · Masashi Sugiyama
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning
Ashok Cutkosky
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
Shangtong Zhang · Bo Liu · Hengshuai Yao · Shimon Whiteson
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Learning General-Purpose Controllers via Locally Communicating Sensorimotor Modules
Wenlong Huang · Igor Mordatch · Deepak Pathak
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Certified Data Removal from Machine Learning Models
Chuan Guo · Tom Goldstein · Awni Hannun · Laurens van der Maaten
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Aligned Cross Entropy for Non-Autoregressive Machine Translation
Marjan Ghazvininejad · Vladimir Karpukhin · Luke Zettlemoyer · Omer Levy
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
The Implicit Regularization of Stochastic Gradient Flow for Least Squares
Alnur Ali · Edgar Dobriban · Ryan Tibshirani
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang · Heng Dong · Victor Lesser · Chongjie Zhang
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
WaveFlow: A Compact Flow-based Model for Raw Audio
Wei Ping · Kainan Peng · Kexin Zhao · Zhao Song
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Network Pruning by Greedy Subnetwork Selection
Mao Ye · Chengyue Gong · Lizhen Nie · Denny Zhou · Adam Klivans · Qiang Liu
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Active World Model Learning in Agent-rich Environments with Progress Curiosity
Kuno Kim · Megumi Sano · Julian De Freitas · Nick Haber · Daniel Yamins
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Generalized Neural Policies for Relational MDPs
Sankalp Garg · Aniket Bajpai · Mausam
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation
Georgios Smyrnis · Petros Maragos
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
CURL: Contrastive Unsupervised Representation Learning for Reinforcement Learning
Michael Laskin · Pieter Abbeel · Aravind Srinivas
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Bio-Inspired Hashing for Unsupervised Similarity Search
Chaitanya Ryali · John Hopfield · Leopold Grinberg · Dmitry Krotov
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Video Prediction via Example Guidance
Jingwei Xu · Harry (Huazhe) Xu · Bingbing Ni · Xiaokang Yang · Trevor Darrell
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang · Dapeng Hu · Jiashi Feng
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati · Boris Sattarov · Sufeng Niu · Haoran Wei · Yashaswi Pathak · Shengchao Liu · Shengchao Liu · Simon Blackburn · Karam Thomas · Connor Coley · Jian Tang · Sarath Chandar · Yoshua Bengio
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Energy-Based Processes for Exchangeable Data
Mengjiao Yang · Bo Dai · Hanjun Dai · Dale Schuurmans
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
On the Global Convergence Rates of Softmax Policy Gradient Methods
Jincheng Mei · Chenjun Xiao · Csaba Szepesvari · Dale Schuurmans
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Bounding the fairness and accuracy of classifiers from population statistics
Sivan Sabato · Elad Yom-Tov
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Implicit competitive regularization in GANs
Florian Schaefer · Hongkai Zheng · Anima Anandkumar
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Inferring DQN structure for high-dimensional continuous control
Andrey Sakryukin · Chedy Raissi · Mohan Kankanhalli
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking
Haoran Sun · Songtao Lu · Mingyi Hong
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications
Kinjal Basu · Amol Ghoting · Rahul Mazumder · Yao Pan
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Evaluating Machine Accuracy on ImageNet
Vaishaal Shankar · Rebecca Roelofs · Horia Mania · Alex Fang · Benjamin Recht · Ludwig Schmidt
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model
Aadirupa Saha · Aditya Gopalan
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Andrey Voynov · Artem Babenko
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Concept Bottleneck Models
Pang Wei Koh · Thao Nguyen · Yew Siang Tang · Stephen Mussmann · Emma Pierson · Been Kim · Percy Liang
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
When Does Self-Supervision Help Graph Convolutional Networks?
Yuning You · Tianlong Chen · Zhangyang Wang · Yang Shen
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Accelerated Message Passing for Entropy-Regularized MAP Inference
Jonathan Lee · Aldo Pacchiano · Peter Bartlett · Michael Jordan
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Generalization Error of Generalized Linear Models in High Dimensions
Melikasadat Emami · Mojtaba Sahraee-Ardakan · Parthe Pandit · Sundeep Rangan · Alyson Fletcher
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
A Distributional Framework For Data Valuation
Amirata Ghorbani · Michael Kim · James Zou
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Improved Optimistic Algorithms for Logistic Bandits
Louis Faury · Marc Abeille · Clément Calauzènes · Olivier Fercoq
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Decision Trees for Decision-Making under the Predict-then-Optimize Framework
Adam Elmachtoub · Jason Cheuk Nam Liang · Ryan McNellis
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Global Decision-Making via Local Economic Transactions
Michael Chang · Sid Kaushik · S. Matthew Weinberg · Sergey Levine · Thomas Griffiths
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Learning Flat Latent Manifolds with VAEs
Nutan Chen · Alexej Klushyn · Francesco Ferroni · Justin Bayer · Patrick van der Smagt
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Real-Time Optimisation for Online Learning in Auctions
Lorenzo Croissant · Marc Abeille · Clément Calauzènes
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Francesco Croce · Matthias Hein
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Predictive Coding for Locally-Linear Control
Rui Shu · Tung Nguyen · Yinlam Chow · Tuan Pham · Khoat Than · Mohammad Ghavamzadeh · Stefano Ermon · Hung Bui
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Online Continual Learning from Imbalanced Data
Aristotelis Chrysakis · Marie-Francine Moens
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Extra-gradient with player sampling for faster convergence in n-player games
Samy Jelassi · Carles Domingo-Enrich · Damien Scieur · Arthur Mensch · Joan Bruna
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Graph-based Nearest Neighbor Search: From Practice to Theory
Liudmila Prokhorenkova · Aleksandr Shekhovtsov
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Aggregation of Multiple Knockoffs
Tuan-Binh Nguyen · Jerome-Alexis Chevalier · Thirion Bertrand · Sylvain Arlot
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains
Johannes Fischer · Ömer Sahin Tas
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning
Prabhu Teja Sivaprasad · Florian Mai · Thijs Vogels · Martin Jaggi · Francois Fleuret
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
Aleksandar Bojchevski · Johannes Klicpera · Stephan Günnemann
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Low Bias Low Variance Gradient Estimates for Hierarchical Boolean Stochastic Networks
Adeel Pervez · Taco Cohen · Efstratios Gavves
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Random extrapolation for primal-dual coordinate descent
Ahmet Alacaoglu · Olivier Fercoq · Volkan Cevher
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Topologically Densified Distributions
Christoph Hofer · Florian Graf · Marc Niethammer · Roland Kwitt
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang · Yao Zhao · Mohammad Saleh · Peter J. Liu
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Learning to Rank Learning Curves
Martin Wistuba · Tejaswini Pedapati
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Soft Threshold Weight Reparameterization for Learnable Sparsity
Aditya Kusupati · Vivek Ramanujan · Raghav Somani · Mitchell Wortsman · Prateek Jain · Sham Kakade · Ali Farhadi
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
On Thompson Sampling with Langevin Algorithms
Eric Mazumdar · Aldo Pacchiano · Yian Ma · Michael Jordan · Peter Bartlett
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
A Flexible Latent Space Model for Multilayer Networks
Xuefei Zhang · Songkai Xue · Ji Zhu
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Online Multi-Kernel Learning with Graph-Structured Feedback
Pouya M Ghari · Yanning Shen
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Randomized Block-Diagonal Preconditioning for Parallel Learning
Celestine Mendler-Dünner · Aurelien Lucchi
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions
Ahmed Alaa · Mihaela van der Schaar
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Ronen Basri · Meirav Galun · Amnon Geifman · David Jacobs · Yoni Kasten · Shira Kritchman
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
The Complexity of Finding Stationary Points with Stochastic Gradient Descent
Yoel Drori · Ohad Shamir
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Inter-domain Deep Gaussian Processes with RKHS Fourier Features
Tim G. J. Rudner · Dino Sejdinovic · Yarin Gal
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Double-Loop Unadjusted Langevin Algorithm
Paul Rolland · Armin Eftekhari · Ali Kavis · Volkan Cevher
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Conditional gradient methods for stochastically constrained convex minimization
Maria-Luiza Vladarean · Ahmet Alacaoglu · Ya-Ping Hsieh · Volkan Cevher
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Monte-Carlo Tree Search as Regularized Policy Optimization
Jean-Bastien Grill · Florent Altché · Yunhao Tang · Thomas Hubert · Michal Valko · Ioannis Antonoglou · Remi Munos
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Karsten Roth · Timo Milbich · Samrath Sinha · Prateek Gupta · Bjorn Ommer · Joseph Paul Cohen
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
PowerNorm: Rethinking Batch Normalization in Transformers
Sheng Shen · Zhewei Yao · Amir Gholaminejad · Michael Mahoney · Kurt Keutzer
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Optimistic bounds for multi-output learning
Henry Reeve · Ata Kaban
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Missing Data Imputation using Optimal Transport
Boris Muzellec · Julie Josse · Claire Boyer · Marco Cuturi
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer
Anton Zhiyanov · Alexey Drutsa
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Naive Exploration is Optimal for Online LQR
Max Simchowitz · Dylan Foster
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Gradient-free Online Learning in Continuous Games with Delayed Rewards
Amélie Héliou · Panayotis Mertikopoulos · Zhengyuan Zhou
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Composable Sketches for Functions of Frequencies: Beyond the Worst Case
Edith Cohen · Ofir Geri · Rasmus Pagh
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
Sarthak Mittal · Alex Lamb · Anirudh Goyal · Vikram Voleti · Murray Shanahan · Guillaume Lajoie · Michael Mozer · Yoshua Bengio
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier Henaff
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Supervised Quantile Normalization for Low Rank Matrix Factorization
Marco Cuturi · Olivier Teboul · Jonathan Niles-Weed · Jean-Philippe Vert
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks
Alexander Shevchenko · Marco Mondelli
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Neural Kernels Without Tangents
Vaishaal Shankar · Alex Fang · Wenshuo Guo · Sara Fridovich-Keil · Jonathan Ragan-Kelley · Ludwig Schmidt · Benjamin Recht
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Jakub Swiatkowski · Kevin Roth · Bastiaan Veeling · Linh Tran · Joshua V Dillon · Jasper Snoek · Stephan Mandt · Tim Salimans · Rodolphe Jenatton · Sebastian Nowozin
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Near-optimal Regret Bounds for Stochastic Shortest Path
Aviv Rosenberg · Alon Cohen · Yishay Mansour · Haim Kaplan
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Amortised Learning by Wake-Sleep
Li Kevin Wenliang · Theodore Moskovitz · Heishiro Kanagawa · Maneesh Sahani
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
The Boomerang Sampler
Joris Bierkens · Sebastiano Grazzi · Kengo Kamatani · Gareth Roberts
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Predicting Choice with Set-Dependent Aggregation
Nir Rosenfeld · Kojin Oshiba · Yaron Singer
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Kernel interpolation with continuous volume sampling
Ayoub Belhadji · Rémi Bardenet · Pierre Chainais
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Towards Adaptive Residual Network Training: A Neural-ODE Perspective
chengyu dong · Liyuan Liu · Zichao Li · Jingbo Shang
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Teaching with Limited Information on the Learner's Behaviour
Ferdinando Cicalese · Francisco Sergio de Freitas Filho · Eduardo Laber · Marco Molinaro
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Influenza Forecasting Framework based on Gaussian Processes
Christoph Zimmer · Reza Yaesoubi
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Topic Modeling via Full Dependence Mixtures
Dan Fisher · Mark Kozdoba · Shie Mannor
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Efficient proximal mapping of the path-norm regularizer of shallow networks
Fabian Latorre · Paul Rolland · Shaul Nadav Hallak · Volkan Cevher
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Projective Preferential Bayesian Optimization
Petrus Mikkola · Milica Todorović · Jari Järvi · Patrick Rinke · Samuel Kaski
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Latent Bernoulli Autoencoder
Jiri Fajtl · Vasileios Argyriou · Dorothy Monekosso · Paolo Remagnino
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Modulating Surrogates for Bayesian Optimization
Erik Bodin · Markus Kaiser · Ieva Kazlauskaite · Zhenwen Dai · Neill Campbell · Carl Henrik Ek
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)
Fabian Hinder · André Artelt · CITEC Barbara Hammer
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Spectral Clustering with Graph Neural Networks for Graph Pooling
Filippo Maria Bianchi · Daniele Grattarola · Cesare Alippi
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
A quantile-based approach for hyperparameter transfer learning
David Salinas · Huibin Shen · Valerio Perrone
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Learning to Branch for Multi-Task Learning
Pengsheng Guo · Chen-Yu Lee · Daniel Ulbricht
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Preselection Bandits
Viktor Bengs · Eyke Hüllermeier
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
On Efficient Low Distortion Ultrametric Embedding
Vincent Cohen-Addad · Karthik C. S. · Guillaume Lagarde
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Stochastic Latent Residual Video Prediction
Jean-Yves Franceschi · Edouard Delasalles · Mickael Chen · Sylvain Lamprier · Patrick Gallinari
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Neural Topic Modeling with Continual Lifelong Learning
Pankaj Gupta · Yatin Chaudhary · Thomas Runkler · Hinrich Schuetze
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
The FAST Algorithm for Submodular Maximization
Adam Breuer · Eric Balkanski · Yaron Singer
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Stochastic Differential Equations with Variational Wishart Diffusions
Martin Jørgensen · Marc Deisenroth · Hugh Salimbeni
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
A Generative Model for Molecular Distance Geometry
Gregor Simm · Jose Miguel Hernandez-Lobato
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Convolutional Kernel Networks for Graph-Structured Data
Dexiong Chen · Laurent Jacob · Julien Mairal
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Graph Filtration Learning
Christoph Hofer · Florian Graf · Bastian Rieck · Marc Niethammer · Roland Kwitt
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Stochastic Subspace Cubic Newton Method
Filip Hanzely · Nikita Doikov · Yurii Nesterov · Peter Richtarik
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Robust learning with the Hilbert-Schmidt independence criterion
Daniel Greenfeld · Uri Shal