47 Results

Poster
Tue 7:00 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 7:00 The Effect of Natural Distribution Shift on Question Answering Models
John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt
Poster
Tue 7:00 Causal Strategic Linear Regression
Yonadav Shavit, Ben Edelman, Brian Axelrod
Poster
Tue 7:00 Zeno++: Robust Fully Asynchronous SGD
Cong Xie, Sanmi Koyejo, Indranil Gupta
Poster
Tue 7:00 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
Nian Si, Fan Zhang, Zhengyuan Zhou, Jose Blanchet
Poster
Tue 7:00 On Second-Order Group Influence Functions for Black-Box Predictions
Samyadeep Basu, Xuchen You, Soheil Feizi
Poster
Tue 7:00 Randomized Smoothing of All Shapes and Sizes
Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li
Poster
Tue 8:00 Feature Noise Induces Loss Discrepancy Across Groups
Fereshte Khani, Percy Liang
Poster
Tue 8:00 NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian
Poster
Tue 8:00 Adversarial Neural Pruning with Latent Vulnerability Suppression
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
Poster
Tue 8:00 Detecting Out-of-Distribution Examples with Gram Matrices
Chandramouli Shama Sastry, Sageev Oore
Poster
Tue 9:00 An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa, aditi raghunathan, Pang Wei Koh, Percy Liang
Poster
Tue 9:00 Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions
Arpit Agarwal, Shivani Agarwal, Sanjeev Khanna, Prathamesh Patil
Poster
Tue 9:00 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, Zico Kolter
Poster
Tue 9:00 Robustness to Spurious Correlations via Human Annotations
Megha Srivastava, Tatsunori Hashimoto, Percy Liang
Poster
Tue 9:00 Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu, Xiao Zhang, David Evans
Poster
Tue 10:00 Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain, Alon Orlitsky
Poster
Tue 11:00 Online metric algorithms with untrusted predictions
Antonios Antoniadis, Christian Coester, Marek Elias, Adam Polak, Bertrand Simon
Poster
Tue 11:00 Stochastically Dominant Distributional Reinforcement Learning
John Martin, Michal Lyskawinski, Xiaohu Li, Brendan Englot
Poster
Tue 11:00 Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Yang Liu, Hongyi Guo
Poster
Tue 13:00 Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Natasa Tagasovska, Valérie Chavez-Demoulin, Thibault Vatter
Poster
Tue 13:00 Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
David Stutz, Matthias Hein, Bernt Schiele
Poster
Tue 18:00 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
Wed 5:00 Identifying Statistical Bias in Dataset Replication
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
Poster
Wed 5:00 Median Matrix Completion: from Embarrassment to Optimality
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
Poster
Wed 5:00 Data preprocessing to mitigate bias: A maximum entropy based approach
L. Elisa Celis, Vijay Keswani, Nisheeth Vishnoi
Poster
Wed 5:00 Adversarial Risk via Optimal Transport and Optimal Couplings
Muni Sreenivas Pydi, Varun Jog
Poster
Wed 8:00 Robust Outlier Arm Identification
Yinglun Zhu, Sumeet Katariya, Robert Nowak
Poster
Wed 8:00 Individual Calibration with Randomized Forecasting
Shengjia Zhao, Tengyu Ma, Stefano Ermon
Poster
Wed 9:00 Cooperative Multi-Agent Bandits with Heavy Tails
Abhimanyu Dubey, Alex `Sandy' Pentland
Poster
Wed 10:00 Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi, Matthias Hein, Philipp Hennig
Poster
Wed 10:00 Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei Efros, University of California Moritz Hardt
Poster
Wed 10:00 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 12:00 Scalable Differential Privacy with Certified Robustness in Adversarial Learning
Hai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou
Poster
Wed 13:00 On the Sample Complexity of Adversarial Multi-Source PAC Learning
Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert
Poster
Thu 6:00 FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh
Poster
Thu 6:00 A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning
Yunhua Xiang, Noah Simon
Poster
Thu 6:00 Interpreting Robust Optimization via Adversarial Influence Functions
Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang
Poster
Thu 6:00 Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj, Yoram Bresler, Bo Li
Poster
Thu 6:00 Performative Prediction
Juan Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, University of California Moritz Hardt
Poster
Thu 7:00 Improving generalization by controlling label-noise information in neural network weights
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
Poster
Thu 8:00 Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Lu Jiang, Di Huang, Mason Liu, Weilong Yang
Poster
Thu 8:00 Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Yongchan Kwon, Wonyoung Kim, Johann Won, Myunghee Cho Paik
Poster
Thu 9:00 Evaluating Machine Accuracy on ImageNet
Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt
Poster
Thu 12:00 Aggregation of Multiple Knockoffs
Tuan-Binh Nguyen, Jerome-Alexis Chevalier, Thirion Bertrand, Sylvain Arlot
Poster
Thu 12:00 Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
Poster
Thu 15:00 Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness
Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi