Skip to yearly menu bar Skip to main content


(84 events)   Timezone:  
Show all
Toggle Poster Visibility
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Multigrid Neural Memory
In Poster Session 10
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) @ Virtual
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
In Poster Session 10
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) @ Virtual
Evaluating the Performance of Reinforcement Learning Algorithms
In Poster Session 10
Scott 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)
Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints
In Poster Session 10
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)
Explaining Groups of Points in Low-Dimensional Representations
In Poster Session 10
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)
Scalable Nearest Neighbor Search for Optimal Transport
In Poster Session 10
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) @ Virtual
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions
In Poster Session 10
Prashanth L.A. · Krishna Jagannathan · Ravi Kolla
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
In Poster Session 10
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)
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
In Poster Session 10
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) @ Virtual
From Importance Sampling to Doubly Robust Policy Gradient
In Poster Session 10
Jiawei Huang · Nan Jiang
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
In Poster Session 10
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)
Provably Efficient Exploration in Policy Optimization
In Poster Session 10
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)
Generating Programmatic Referring Expressions via Program Synthesis
In Poster Session 10
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)
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions
In Poster Session 10
Kaito Fujii
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
In Poster Session 10
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)
Taylor Expansion Policy Optimization
In Poster Session 10
Yunhao Tang · Michal Valko · Remi Munos
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
In Poster Session 10
David Rolnick · Konrad Kording
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
In Poster Session 10
Niccolo Dalmasso · Rafael Izbicki · Ann Lee
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
In Poster Session 10
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)
Differentiating through the Fréchet Mean
In Poster Session 10
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) @ Virtual
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
In Poster Session 10
Rob Brekelmans · Vaden Masrani · Frank Wood · Greg Ver Steeg · Aram Galstyan
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Variational Bayesian Quantization
In Poster Session 10
Yibo Yang · Robert Bamler · Stephan Mandt
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
In Poster Session 10
Akbar Rafiey · Yuichi Yoshida
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Asynchronous Coagent Networks
In Poster Session 10
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)
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
In Poster Session 10
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
In Poster Session 10
Chanwoo Lee · Miaoyan Wang
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
In Poster Session 10
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) @ Virtual
Nested Subspace Arrangement for Representation of Relational Data
In Poster Session 10
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)
FedBoost: A Communication-Efficient Algorithm for Federated Learning
In Poster Session 10
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)
Contrastive Multi-View Representation Learning on Graphs
In Poster Session 10
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)
Online Learning for Active Cache Synchronization
In Poster Session 10
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) @ Virtual
Mutual Transfer Learning for Massive Data
In Poster Session 10
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)
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
In Poster Session 10
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)
Stochastic Regret Minimization in Extensive-Form Games
In Poster Session 10
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)
Evaluating Lossy Compression Rates of Deep Generative Models
In Poster Session 10
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) @ Virtual
Familywise Error Rate Control by Interactive Unmasking
In Poster Session 10
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)
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
In Poster Session 10
Richard Zhang · Daniel Golovin
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
In Poster Session 10
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) @ Virtual
Improving Generative Imagination in Object-Centric World Models
In Poster Session 10
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)
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks
In Poster Session 10
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)
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
In Poster Session 10
Yonggan Fu · Wuyang Chen · Haotao Wang · Haoran Li · Yingyan Lin · Zhangyang “Atlas” Wang
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
In Poster Session 10
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 06:00 PM -- 06:45 PM (PDT) @ Virtual
ControlVAE: Controllable Variational Autoencoder
In Poster Session 10
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) @ Virtual
Individual Fairness for k-Clustering
In Poster Session 10
Sepideh Mahabadi · Ali Vakilian
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
In Poster Session 10
Ting Chen · Simon Kornblith · Mohammad Norouzi · Geoffrey Hinton
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
In Poster Session 10
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)
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
In Poster Session 10
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)
Towards Understanding the Dynamics of the First-Order Adversaries
In Poster Session 10
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)
Stochastic Optimization for Non-convex Inf-Projection Problems
In Poster Session 10
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)
On the Noisy Gradient Descent that Generalizes as SGD
In Poster Session 10
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 06:00 PM -- 06:45 PM (PDT)
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
In Poster Session 10
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 06:00 PM -- 06:45 PM (PDT)
Streaming Submodular Maximization under a k-Set System Constraint
In Poster Session 10
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
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
In Poster Session 10
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)
Optimizing for the Future in Non-Stationary MDPs
In Poster Session 10
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) @ Virtual
Laplacian Regularized Few-Shot Learning
In Poster Session 10
Imtiaz Ziko · Jose Dolz · Eric Granger · Ismail Ben Ayed
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
In Poster Session 10
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)
The Effect of Natural Distribution Shift on Question Answering Models
In Poster Session 10
John Miller · Karl Krauth · Benjamin Recht · Ludwig Schmidt
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
In Poster Session 10
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)
Faster Graph Embeddings via Coarsening
In Poster Session 10
Matthew Fahrbach · Gramoz Goranci · Richard Peng · Sushant Sachdeva · Chi Wang
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
In Poster Session 10
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) @ Virtual
What Can Learned Intrinsic Rewards Capture?
In Poster Session 10
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) @ Virtual
On Implicit Regularization in $\beta$-VAEs
In Poster Session 10
Abhishek Kumar · Ben Poole
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Causal Strategic Linear Regression
In Poster Session 10
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)
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
In Poster Session 10
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)
Deep Divergence Learning
In Poster Session 10
Kubra Cilingir · Rachel Manzelli · Brian Kulis
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
In Poster Session 10
Yansong Gao · Pratik Chaudhari
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
In Poster Session 10
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)
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
In Poster Session 10
Yaodong Yang · Jianye Hao · Guangyong Chen · Hongyao Tang · Yingfeng Chen · Yujing Hu · Changjie Fan · Zhongyu Wei
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
In Poster Session 10
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) @ Virtual
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
In Poster Session 10
Che Wang · Yanqiu Wu · Quan Vuong · Keith Ross
[ Slides] 
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
In Poster Session 10
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) @ Virtual
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
In Poster Session 10
Jingfeng Zhang · Xilie Xu · Bo Han · Gang Niu · Lizhen Cui · Masashi Sugiyama · Mohan Kankanhalli
[ Slides] 
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
In Poster Session 10
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)
Learning De-biased Representations with Biased Representations
In Poster Session 10
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)
Logistic Regression for Massive Data with Rare Events
In Poster Session 10
HaiYing Wang
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Learning to Learn Kernels with Variational Random Features
In Poster Session 10
Xiantong Zhen · Haoliang Sun · Yingjun Du · Jun Xu · Yilong Yin · Ling Shao · Cees Snoek
[ Slides] 
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
In Poster Session 10
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)
Efficiently Learning Adversarially Robust Halfspaces with Noise
In Poster Session 10
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)
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space
In Poster Session 10
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) @ Virtual
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
In Poster Session 10
Kaixuan Wei · Angelica I Aviles-Rivero · Jingwei Liang · Ying Fu · Carola-Bibiane Schönlieb · Hua Huang
[ Slides] 
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
In Poster Session 10
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)
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics
In Poster Session 10
Futoshi Futami · Issei Sato · Masashi Sugiyama
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
In Poster Session 10
Yuta Saito · Shota Yasui
[ Slides] 
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
In Poster Session 10
Kei Ota · Tomoaki Oiki · Devesh Jha · Toshisada Mariyama · Daniel Nikovski
[ Slides]