A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free

3 February 2019

Papers citing "A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free"

27 / 27 papers shown

Title
Tracking Most Significant Shifts in Infinite-Armed Bandits Joe Suk Jung-hun Kim 60 0 0 31 Jan 2025
Variance-Dependent Regret Bounds for Non-stationary Linear Bandits Zhiyong Wang Jize Xie Yi Chen J. C. Lui Dongruo Zhou 28 0 0 15 Mar 2024
A Stability Principle for Learning under Non-Stationarity Chengpiao Huang Kaizheng Wang 42 2 0 27 Oct 2023
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 70 1 0 02 Jun 2023
Discounted Thompson Sampling for Non-Stationary Bandit Problems Han Qi Yue Wang Li Zhu 32 4 0 18 May 2023
MNL-Bandit in non-stationary environments Ayoub Foussoul Vineet Goyal Varun Gupta 34 2 0 04 Mar 2023
Linear Bandits with Memory: from Rotting to Rising Giulia Clerici Pierre Laforgue Nicolò Cesa-Bianchi 27 3 0 16 Feb 2023
Smooth Non-Stationary Bandits S. Jia Qian Xie Nathan Kallus P. Frazier 106 9 0 29 Jan 2023
Contextual Bandits and Optimistically Universal Learning Moise Blanchard Steve Hanneke Patrick Jaillet OffRL 19 1 0 31 Dec 2022
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits Thomas Kleine Buening Aadirupa Saha 46 6 0 25 Oct 2022
Event-Triggered Time-Varying Bayesian Optimization Paul Brunzema Alexander von Rohr Friedrich Solowjow Sebastian Trimpe 18 7 0 23 Aug 2022
Adversarial Bandits against Arbitrary Strategies Jung-hun Kim Se-Young Yun 49 0 0 30 May 2022
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms Javad Azizi T. Duong Yasin Abbasi-Yadkori András Gyorgy Claire Vernade Mohammad Ghavamzadeh 34 8 0 25 Feb 2022
Versatile Dueling Bandits: Best-of-both-World Analyses for Online Learning from Preferences Aadirupa Saha Pierre Gaillard 36 8 0 14 Feb 2022
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits Haipeng Luo Mengxiao Zhang Peng Zhao Zhi-Hua Zhou 34 17 0 12 Feb 2022
Rotting Infinitely Many-armed Bandits Jung-hun Kim Milan Vojnović Se-Young Yun 24 4 0 31 Jan 2022
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits Aadirupa Saha Shubham Gupta 33 10 0 06 Nov 2021
On Slowly-varying Non-stationary Bandits Ramakrishnan Krishnamurthy Médéric Fourmy 24 8 0 25 Oct 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 59 11 0 10 Aug 2021
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution Chuanhao Li Qingyun Wu Hongning Wang 41 5 0 14 Apr 2021
A Simple Approach for Non-stationary Linear Bandits Peng Zhao Lijun Zhang Yuan Jiang Zhi-Hua Zhou 33 81 0 09 Mar 2021
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 11 93 0 24 Jun 2020
Weighted Linear Bandits for Non-Stationary Environments Yoan Russac Claire Vernade Olivier Cappé 82 101 0 19 Sep 2019
Bandit Convex Optimization in Non-stationary Environments Peng Zhao G. Wang Lijun Zhang Zhi-Hua Zhou 22 41 0 29 Jul 2019
Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 23 7 0 07 Jun 2019
Model selection for contextual bandits Dylan J. Foster A. Krishnamurthy Haipeng Luo OffRL 26 89 0 03 Jun 2019
Learning to Optimize under Non-Stationarity Wang Chi Cheung D. Simchi-Levi Ruihao Zhu 36 132 0 06 Oct 2018