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Workshop
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma · Kartik Ahuja · Ioannis Mitliagkas · Shiro Takagi · Tetsuya Motokawa · Rio Yokota · Kohta Ishikawa · Ikuro Sato
Poster
Tue 14:00 Efficient Submodular Optimization under Noise: Local Search is Robust
Lingxiao Huang · Yuyi Wang · Chunxue Yang · Huanjian Zhou
Poster
Wed 9:00 A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
James Harrison · Luke Metz · Jascha Sohl-Dickstein
Poster
Thu 9:00 Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits
Tong Mu · Yash Chandak · Tatsunori Hashimoto · Emma Brunskill
Workshop
Out-of-Distribution Robustness via Targeted Augmentations
Irena Gao · Shiori Sagawa · Pang Wei Koh · Tatsunori Hashimoto · Percy Liang
Poster
Wed 14:00 Probable Domain Generalization via Quantile Risk Minimization
Cian Eastwood · Alexander Robey · Shashank Singh · Julius von Kügelgen · Hamed Hassani · George J. Pappas · Bernhard Schölkopf
Poster
Thu 14:00 Generative multitask learning mitigates target-causing confounding
Taro Makino · Krzysztof Geras · Kyunghyun Cho
Poster
Tue 14:00 Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert · Ziv Goldfeld · Ritwik Sadhu · Kengo Kato
Poster
Tue 14:00 Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
Omar Montasser · Steve Hanneke · Nati Srebro
Poster
Tue 14:00 Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer · Idan Schwartz · Lior Wolf
Poster
Wed 14:00 Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Mohammad Reza Taesiri · Giang Nguyen · Anh Nguyen
Poster
Thu 14:00 Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
Yibo Zeng · Henry Lam