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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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Competition
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Sat 14:50
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Combinatorial Bandits with Full Bandit Feedback
Vaneet Aggarwal
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Workshop
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Adaptive Transductive Inference via Sequential Experimental Design with Contextual Retention
Tareq Si Salem
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Workshop
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Prioritization Strategies for LLM-Designed Restless Bandit Rewards in Public Health
Shresth Verma · Niclas Boehmer · Lingkai Kong · Milind Tambe
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Workshop
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The Crucial Role of Samplers in Online Direct Preference Optimization
Ruizhe Shi · Runlong Zhou · Simon Du
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Workshop
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Fast Convergence of Softmax Policy Mirror Ascent for Bandits & Tabular MDPs
Reza Asad · Reza Babanezhad Harikandeh · Issam Hadj Laradji · Nicolas Le Roux · Sharan Vaswani
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Workshop
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Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
Jing Dong · Baoxiang Wang · Yaoliang Yu
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Workshop
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Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
Nikola Pavlovic · Sudeep Salgia · Qing Zhao
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Workshop
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Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
Heyang Zhao · Chenlu Ye · Quanquan Gu · Tong Zhang
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Workshop
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Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
Shresth Verma · Niclas Boehmer · Lingkai Kong · Milind Tambe
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Workshop
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A Unified Framework for Speculative Decoding with Multiple Drafters as a Bandit
Taehyeon Kim · Hojung Jung · Se-Young Yun
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Workshop
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Incentivized Exploration in Two-sided Matching Markets
Dung Ngo · Vamsi Potluru · Manuela Veloso
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