Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms

8 November 2022

Papers citing "Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms"

12 / 12 papers shown

Title
Does Feedback Help in Bandits with Arm Erasures? Merve Karakas Osama A. Hanna Lin Yang Christina Fragouli 26 0 0 29 Apr 2025
Contextual Linear Bandits with Delay as Payoff Mengxiao Zhang Yingfei Wang Haipeng Luo 36 0 0 18 Feb 2025
Differentially Private Kernelized Contextual Bandits Nikola Pavlovic Sudeep Salgia Qing Zhao 38 1 0 13 Jan 2025
A Model Selection Approach for Corruption Robust Reinforcement Learning Chen-Yu Wei Christoph Dann Julian Zimmert 80 44 0 31 Dec 2024
Optimal Batched Linear Bandits Xuanfei Ren Tianyuan Jin Pan Xu 24 2 0 06 Jun 2024
A Contextual Online Learning Theory of Brokerage F. Bachoc Tommaso Cesari Roberto Colomboni 28 2 0 22 May 2024
On the Optimal Regret of Locally Private Linear Contextual Bandit Jiachun Li David Simchi-Levi Yining Wang 39 2 0 15 Apr 2024
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits Haolin Liu Chen-Yu Wei Julian Zimmert 30 9 0 02 Sep 2023
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits Kyoungseok Jang Chicheng Zhang Kwang-Sung Jun 34 13 0 25 Oct 2022
Differentially Private Stochastic Linear Bandits: (Almost) for Free Osama A. Hanna Antonious M. Girgis Christina Fragouli Suhas Diggavi FedML 21 18 0 07 Jul 2022
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost Sanae Amani Tor Lattimore András Gyorgy Lin F. Yang FedML 36 9 0 26 May 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 61 46 0 13 May 2022