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Poster
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Tue 15:15
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Optimal cross-learning for contextual bandits with unknown context distributions
Jon Schneider · Julian Zimmert
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Poster
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Wed 8:45
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On the Adversarial Robustness of Out-of-distribution Generalization Models
Xin Zou · Weiwei Liu
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Poster
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Wed 8:45
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D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
Jialin Chen · Shirley Wu · Abhijit Gupta · Rex Ying
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Poster
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Tue 15:15
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Optimal Transport Model Distributional Robustness
Van-Anh Nguyen · Trung Le · Anh Bui · Thanh-Toan Do · Dinh Phung
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Poster
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Thu 8:45
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Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
Xin-Qiang Cai · Pushi Zhang · Li Zhao · Jiang Bian · Masashi Sugiyama · Ashley Llorens
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Poster
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Wed 8:45
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Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations
Shicheng Liu · Minghui Zhu
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Poster
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Thu 15:00
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Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg · Amrith Setlur · Zachary Lipton · Sivaraman Balakrishnan · Virginia Smith · Aditi Raghunathan
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Workshop
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Ask Your Shift if Pre-Training is Right for You
Benjamin Cohen-Wang · Joshua Vendrow · Aleksander Madry
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Poster
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Tue 15:15
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Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
Yeshu Li · Brian Ziebart
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Workshop
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Deep PDE Solvers for Subgrid Modelling and Out-of-Distribution Generalization
Patrick Chatain · Adam Oberman
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Affinity Workshop
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Mon 13:30
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Hybrid machine learning algorithm for predicting distributed denial of service attacks
UMUNYANA Carine
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Poster
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Thu 15:00
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Benchmarking Distribution Shift in Tabular Data with TableShift
Josh Gardner · Zoran Popovic · Ludwig Schmidt
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