Minimax Regret for Cascading Bandits

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Minimax Regret for Cascading Bandits

23 March 2022

Sujay Sanghavi

Sanjay Shakkottai

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Papers citing "Minimax Regret for Cascading Bandits"

7 / 7 papers shown

Title
Cascading Reinforcement Learning Yihan Du R. Srikant Wei Chen 50 1 0 17 Jan 2024
Adversarial Attacks on Combinatorial Multi-Armed Bandits R. Balasubramanian Jiawei Li Prasad Tadepalli Huazheng Wang Qingyun Wu Haoyu Zhao AAML 78 2 0 08 Oct 2023
Adversarial Attacks on Online Learning to Rank with Stochastic Click Models Zichen Wang R. Balasubramanian Hui Yuan Chenyu Song Mengdi Wang Huazheng Wang AAML 61 3 0 30 May 2023
Adversarial Attacks on Online Learning to Rank with Click Feedback Jinhang Zuo Zhiyao Zhang Zhiyong Wang Shuai Li Mohammad Hajiesmaili Adam Wierman AAML 46 5 0 26 May 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms Xutong Liu Jinhang Zuo Siwei Wang John C. S. Lui Mohammad Hajiesmaili Adam Wierman Wei Chen 45 18 0 30 Mar 2023
Overcoming Prior Misspecification in Online Learning to Rank Javad Azizi Ofer Meshi M. Zoghi Maryam Karimzadehgan 73 1 0 25 Jan 2023
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms Xutong Liu Jinhang Zuo Siwei Wang Carlee Joe-Wong John C. S. Lui Wei Chen 85 20 0 31 Aug 2022