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42 Results
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Workshop
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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 |
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Poster
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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 |
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Poster
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Thu 9:00 |
Bidirectional Learning for Offline Infinite-width Model-based Optimization Can Chen · Yingxueff Zhang · Jie Fu · Xue (Steve) Liu · Mark Coates |
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Poster
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Thu 9:00 |
On Infinite Separations Between Simple and Optimal Mechanisms Alexandros Psomas · Ariel Schvartzman Cohenca · S. Weinberg |
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Poster
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Tue 14:00 |
Coresets for Wasserstein Distributionally Robust Optimization Problems Ruomin Huang · Jiawei Huang · Wenjie Liu · Hu Ding |
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Workshop
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How Small Amount of Data Sharing Benefits Higher-Order Distributed Optimization and Learning Mingxi Zhu · Yinyu Ye |
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Workshop
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Distributionally Robust Bayesian Optimization with φ-divergences Hisham Husain · Vu Nguyen · Anton van den Hengel |
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Poster
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Wed 14:00 |
Wasserstein K-means for clustering probability distributions Yubo Zhuang · Xiaohui Chen · Yun Yang |
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Poster
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Thu 9:00 |
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints Jiajin Li · Sirui Lin · Jose Blanchet · Viet Anh Nguyen |
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Poster
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Tue 9:00 |
Distributionally Robust Optimization with Data Geometry Jiashuo Liu · Jiayun Wu · Bo Li · Peng Cui |
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Poster
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Thu 9:00 |
Acceleration in Distributed Sparse Regression Marie Maros · Gesualdo Scutari |
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Poster
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Thu 9:00 |
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits Tong Mu · Yash Chandak · Tatsunori Hashimoto · Emma Brunskill |