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Poster
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Wed 16:30
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Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
Zhishuai Liu · Pan Xu
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Poster
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Fri 16:30
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Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
Tehila Dahan · Kfir Y. Levy
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Workshop
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Probabilistic Fusion Approach for Robust Battery Prognostics
Jokin Alcibar
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Poster
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Fri 11:00
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Achievable distributional robustness when the robust risk is only partially identified
Julia Kostin · Nicola Gnecco · Fanny Yang
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Poster
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Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
Zifan Wang · Yi Shen · Michael Zavlanos · Karl H. Johansson
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Poster
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Fri 16:30
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Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
Ronak Mehta · Jelena Diakonikolas · Zaid Harchaoui
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Poster
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Wed 11:00
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Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
Parsa Moradi · Behrooz Tahmasebi · Mohammad Maddah-Ali
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Poster
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Fri 11:00
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Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
Miao Lu · Han Zhong · Tong Zhang · Jose Blanchet
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Poster
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Fri 16:30
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Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
Grigory Malinovsky · Peter Richtarik · Samuel Horváth · Eduard Gorbunov
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Poster
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Thu 16:30
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Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction
Seokin Seo · Byung-Jun Lee · Jongmin Lee · HyeongJoo Hwang · Hongseok Yang · Kee-Eung Kim
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Poster
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Thu 16:30
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Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
Ahmad-Reza Ehyaei · Golnoosh Farnadi · Samira Samadi
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Poster
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Wed 16:30
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Near-Optimal Distributionally Robust Reinforcement Learning with General Lp Norms
Pierre Clavier · Laixi Shi · Erwan Le Pennec · Eric Mazumdar · Adam Wierman · Matthieu Geist
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