Provably Optimal Algorithms for Generalized Linear Contextual Bandits

28 February 2017

Papers citing "Provably Optimal Algorithms for Generalized Linear Contextual Bandits"

21 / 21 papers shown

Title
Multiplier Bootstrap-based Exploration Runzhe Wan Haoyu Wei B. Kveton R. Song 16 2 0 03 Feb 2023
Global Optimization with Parametric Function Approximation Chong Liu Yu-Xiang Wang 36 7 0 16 Nov 2022
Combinatorial Causal Bandits Shi Feng Wei Chen CML 19 13 0 04 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 38 13 0 20 May 2022
Linear Stochastic Bandits over a Bit-Constrained Channel A. Mitra Hamed Hassani George J. Pappas 39 8 0 02 Mar 2022
An Experimental Design Approach for Regret Minimization in Logistic Bandits Blake Mason Kwang-Sung Jun Lalit P. Jain 21 10 0 04 Feb 2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach Xueqiang Yan Yali Du Binxin Ru Jun Wang Haifeng Zhang Xu Chen 33 7 0 12 Jan 2022
Jointly Efficient and Optimal Algorithms for Logistic Bandits Louis Faury Marc Abeille Kwang-Sung Jun Clément Calauzènes 30 19 0 06 Jan 2022
Top $K$ Ranking for Multi-Armed Bandit with Noisy Evaluations Evrard Garcelon Vashist Avadhanula A. Lazaric and Matteo Pirotta 16 4 0 13 Dec 2021
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability Aadirupa Saha A. Krishnamurthy 26 35 0 24 Nov 2021
Dueling RL: Reinforcement Learning with Trajectory Preferences Aldo Pacchiano Aadirupa Saha Jonathan Lee 33 81 0 08 Nov 2021
An Efficient Algorithm for Deep Stochastic Contextual Bandits Tan Zhu Guannan Liang Chunjiang Zhu HaiNing Li J. Bi 34 1 0 12 Apr 2021
UCB-based Algorithms for Multinomial Logistic Regression Bandits Sanae Amani Christos Thrampoulidis 34 10 0 21 Mar 2021
Online Learning Demands in Max-min Fairness Kirthevasan Kandasamy Gur-Eyal Sela Joseph E. Gonzalez Michael I. Jordan Ion Stoica FaML 4 15 0 15 Dec 2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning Chao Du Zhifeng Gao Shuo Yuan Lining Gao Z. Li Yifan Zeng Xiaoqiang Zhu Jian Xu Kun Gai Kuang-chih Lee 25 18 0 25 Nov 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability D. Simchi-Levi Yunzong Xu OffRL 47 107 0 28 Mar 2020
Neural Contextual Bandits with UCB-based Exploration Dongruo Zhou Lihong Li Quanquan Gu 36 15 0 11 Nov 2019
Linear Stochastic Bandits Under Safety Constraints Sanae Amani M. Alizadeh Christos Thrampoulidis 30 117 0 16 Aug 2019
An Information-Theoretic Analysis for Thompson Sampling with Many Actions Shi Dong Benjamin Van Roy 9 49 0 30 May 2018
Semiparametric Contextual Bandits A. Krishnamurthy Zhiwei Steven Wu Vasilis Syrgkanis 25 44 0 12 Mar 2018
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 27 630 0 08 Feb 2018