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The 2020 schedule is still incomplete
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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 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 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 08:00 PM -- 08:45 PM (PDT) @ Virtual
Data Amplification: Instance-Optimal Property Estimation
Yi Hao · Alon Orlitsky
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Interpolation between Residual and Non-Residual Networks
Zonghan Yang · Yang Liu · Chenglong Bao · Zuoqiang Shi
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 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)
Asynchronous Coagent Networks
James Kostas · Chris Nota · Philip Thomas
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)
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 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 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)
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 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)
The Effect of Natural Distribution Shift on Question Answering Models
John Miller · Karl Krauth · Benjamin Recht · Ludwig Schmidt
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)
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 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 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 06:00 PM -- 06:45 PM (PDT) @ Virtual
What Can Learned Intrinsic Rewards Capture?
Zeyu Zheng · Junhyuk Oh · Matteo Hessel · Zhongwen Xu · Manuel Kroiss · Hado van Hasselt · David Silver · Satinder Singh
[ Slides
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)
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)
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 06:00 PM -- 06:45 PM (PDT)
Differentiating through the Fr├ęchet 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 06:00 PM -- 06:45 PM (PDT)
Faster Graph Embeddings via Coarsening
Matthew Fahrbach · Gramoz Goranci · Richard Peng · Sushant Sachdeva · Chi Wang
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 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 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 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 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 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)
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)
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) @ Virtual
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
Pranjal Awasthi · Natalie Frank · Mehryar Mohri
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints
Akbar Rafiey · Yuichi Yoshida
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
Niccolo Dalmasso · Rafael Izbicki · Ann Lee
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Private Reinforcement Learning with PAC and Regret Guarantees
Giuseppe Vietri · Borja de Balle Pigem · Akshay Krishnamurthy · Steven Wu
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong Nguyen · Tal Hassner · Matthias W Seeger · Cedric Archambeau
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions
Prashanth L.A. · Krishna Jagannathan · Ravi Kolla
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Fair Learning with Private Demographic Data
Hussein Mozannar · Mesrob Ohannessian · Nati Srebro
[ Slides
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)
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)
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)
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 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 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 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 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 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 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)
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 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) @ Virtual
A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen · Simon Kornblith · Mohammad Norouzi · Geoffrey Hinton
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Nested Subspace Arrangement for Representation of Relational Data
Nozomi Hata · Shizuo Kaji · Akihiro Yoshida · Katsuki Fujisawa
[ Slides
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 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)
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 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 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 08:00 PM -- 08:45 PM (PDT) @ Virtual
Self-Concordant Analysis of Frank-Wolfe Algorithms
Pavel Dvurechenskii · Petr Ostroukhov · Kamil Safin · Shimrit Shtern · Mathias Staudigl
[ Slides
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 07:00 PM -- 07:45 PM (PDT) @ Virtual
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
Vihari Piratla · Praneeth Netrapalli · Sunita Sarawagi
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
Rob Brekelmans · Vaden Masrani · Frank Wood · Greg Ver Steeg · Aram Galstyan
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
ControlVAE: Controllable Variational Autoencoder
Huajie Shao · Shuochao Yao · Dachun Sun · Aston Zhang · Shengzhong Liu · Dongxin Liu · Jun Wang · Tarek Abdelzaher
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Learning with Multiple Complementary Labels
LEI FENG · Takuo Kaneko · Bo Han · Gang Niu · Bo An · Masashi Sugiyama
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Individual Fairness for k-Clustering
Sepideh Mahabadi · Ali Vakilian
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Streaming k-Submodular Maximization under Noise subject to Size Constraint
Lan N. Nguyen · My T. Thai
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Implicit Regularization in $\beta$-VAEs
Abhishek Kumar · Ben Poole
[ Slides
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)
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)
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)
Deep Divergence Learning
Kubra Cilingir · Rachel Manzelli · Brian Kulis
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
[ Slides
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)
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)
FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild · Ashwinee Panda · Enayat Ullah · Nikita Ivkin · Ion Stoica · Vladimir Braverman · Joseph E Gonzalez · Raman Arora
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 06:00 PM -- 06:45 PM (PDT) @ Virtual
Reverse-engineering deep ReLU networks
David Rolnick · Konrad Kording
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Causal Strategic Linear Regression
Yonadav Shavit · Benjamin Edelman · Brian Axelrod
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
From Importance Sampling to Doubly Robust Policy Gradient
Jiawei Huang · Nan Jiang
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Improving Generative Imagination in Object-Centric World Models
Zhixuan Lin · Yi-Fu Wu · Skand Peri · Bofeng Fu · Jindong Jiang · Sungjin Ahn
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Familywise Error Rate Control by Interactive Unmasking
Boyan Duan · Aaditya Ramdas · Larry Wasserman
[ Slides
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)
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 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)
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)
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)
Loss Function Search for Face Recognition
Xiaobo Wang · Shuo Wang · Cheng Chi · Shifeng Zhang · Tao Mei
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)
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 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 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 08:00 PM -- 08:45 PM (PDT)
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim · Yehong Zhang · Mun Choon Chan · Bryan Kian Hsiang Low
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 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 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) @ Virtual
Laplacian Regularized Few-Shot Learning
Imtiaz Ziko · Jose Dolz · Eric Granger · Ismail Ben Ayed
[ Slides
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)
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) @ Virtual
Mutual Transfer Learning for Massive Data
Ching-Wei Cheng · Xingye Qiao · Guang Cheng
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Evaluating the Performance of Reinforcement Learning Algorithms
Scott Jordan · Yash Chandak · Daniel Cohen · Mengxue Zhang · Philip Thomas
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
Steven Cheng-Xian Li · Benjamin M Marlin
[ Slides
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)
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)
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 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 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)
Confidence-Aware Learning for Deep Neural Networks
Jooyoung Moon · Jihyo Kim · Younghak Shin · Sangheum Hwang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Variational Bayesian Quantization
Yibo Yang · Robert Bamler · Stephan Mandt
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Distance Metric Learning with Joint Representation Diversification
Xu Chu · Yang Lin · Yasha Wang · Xiting Wang · Hailong Yu · Xin Gao · Qi Tong
[ Slides
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Combinatorial Pure Exploration for Dueling Bandit
Wei Chen · Yihan Du · Longbo Huang · Haoyu Zhao
[ Slides
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