Adversarial Dueling Bandits

27 October 2020

Papers citing "Adversarial Dueling Bandits"

12 / 12 papers shown

Title
Biased Dueling Bandits with Stochastic Delayed Feedback Bongsoo Yi Yue Kang Yao Li 38 1 0 26 Aug 2024
$A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $Θ(T^{2/3})$ and its Application to Best-of-Both-Worlds$ A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $Θ(T^{2/3})$ and its Application to Best-of-Both-Worlds Taira Tsuchiya Shinji Ito 26 0 0 30 May 2024
Multi-Player Approaches for Dueling Bandits Or Raveh Junya Honda Masashi Sugiyama 44 1 0 25 May 2024
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback Qiwei Di Jiafan He Quanquan Gu 29 1 0 16 Apr 2024
Borda Regret Minimization for Generalized Linear Dueling Bandits Yue Wu Tao Jin Hao Lou Farzad Farnoud Quanquan Gu 34 11 0 15 Mar 2023
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits Thomas Kleine Buening Aadirupa Saha 46 6 0 25 Oct 2022
Dueling Convex Optimization with General Preferences Aadirupa Saha Tomer Koren Yishay Mansour 28 2 0 27 Sep 2022
Versatile Dueling Bandits: Best-of-both-World Analyses for Online Learning from Preferences Aadirupa Saha Pierre Gaillard 36 8 0 14 Feb 2022
Non-Stationary Dueling Bandits Patrick Kolpaczki Viktor Bengs Eyke Hüllermeier 38 7 0 02 Feb 2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach Xueqiang Yan Yali Du Binxin Ru Jun Wang Haifeng Zhang Xu Chen 38 7 0 12 Jan 2022
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability Aadirupa Saha A. Krishnamurthy 39 35 0 24 Nov 2021
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits Aadirupa Saha Shubham Gupta 33 10 0 06 Nov 2021