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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
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 9:00 Bidirectional Learning for Offline Infinite-width Model-based Optimization
Can Chen · Yingxueff Zhang · Jie Fu · Xue (Steve) Liu · Mark Coates
Poster
Thu 9:00 On Infinite Separations Between Simple and Optimal Mechanisms
Alexandros Psomas · Ariel Schvartzman Cohenca · S. Weinberg
Poster
Tue 14:00 Coresets for Wasserstein Distributionally Robust Optimization Problems
Ruomin Huang · Jiawei Huang · Wenjie Liu · Hu Ding
Workshop
How Small Amount of Data Sharing Benefits Higher-Order Distributed Optimization and Learning
Mingxi Zhu · Yinyu Ye
Workshop
Distributionally Robust Bayesian Optimization with φ-divergences
Hisham Husain · Vu Nguyen · Anton van den Hengel