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Poster
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Fri 11:00
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How Does Variance Shape the Regret in Contextual Bandits?
Zeyu Jia · Jian Qian · Alexander Rakhlin · Chen-Yu Wei
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Poster
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Fri 16:30
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Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
Joongkyu Lee · Min-hwan Oh
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Poster
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Fri 16:30
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Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
Jingwu Tang · Gokul Swamy · Fei Fang · Steven Wu
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Poster
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Thu 11:00
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Efficient Φ-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
Brian Zhang · Ioannis Anagnostides · Gabriele Farina · Tuomas Sandholm
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Poster
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Fri 11:00
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Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
Stephen Pasteris · Chris Hicks · Vasilios Mavroudis · Mark Herbster
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Poster
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Fri 11:00
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Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
Ziyi Liu · Idan Attias · Dan Roy
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Poster
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Fri 16:30
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Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
Long-Fei Li · Peng Zhao · Zhi-Hua Zhou
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Poster
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Thu 11:00
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Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes
Asaf Cassel · Aviv Rosenberg
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Poster
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Wed 16:30
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Stopping Bayesian Optimization with Probabilistic Regret Bounds
James Wilson
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Poster
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Wed 16:30
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On Weak Regret Analysis for Dueling Bandits
El Mehdi Saad · Alexandra Carpentier · Tomáš Kocák · Nicolas Verzelen
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Poster
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Thu 16:30
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Optimal Scalarizations for Sublinear Hypervolume Regret
Qiuyi (Richard) Zhang
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Poster
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Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
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