Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits

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Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits

30 March 2019

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Papers citing "Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits"

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Title
Experimental Design for Semiparametric Bandits Seok-Jin Kim Gi-Soo Kim Min-hwan Oh 21 0 0 16 Jun 2025
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback Nan Lu Ethan X. Fang Junwei Lu 420 0 0 27 Apr 2025
Causally Abstracted Multi-armed Bandits Fabio Massimo Zennaro Nicholas Bishop Joel Dyer Yorgos Felekis Anisoara Calinescu Michael Wooldridge Theodoros Damoulas 80 3 0 26 Apr 2024
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design Desi R. Ivanova Joel Jennings Tom Rainforth Cheng Zhang Adam Foster 100 3 0 27 Feb 2023
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency Heyang Zhao Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 101 28 0 21 Feb 2023
A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design Rui Ai Boxiang Lyu Zhaoran Wang Zhuoran Yang Michael I. Jordan 72 3 0 19 Oct 2022
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits Wonyoung Hedge Kim Kyungbok Lee M. Paik 102 14 0 15 Sep 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits Jiafan He Tianhao Wang Yifei Min Quanquan Gu FedML 99 34 0 07 Jul 2022
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making Kefan Dong Tengyu Ma 132 9 0 06 Jun 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs Dongruo Zhou Quanquan Gu 120 45 0 23 May 2022
Provably Efficient Kernelized Q-Learning Shuang Liu H. Su MLT 95 4 0 21 Apr 2022
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles Aldo G. Carranza Sanath Kumar Krishnamurthy Susan Athey 50 1 0 30 Mar 2022
Truncated LinUCB for Stochastic Linear Bandits Yanglei Song Meng zhou 260 0 0 23 Feb 2022
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs Yeoneung Kim Insoon Yang Kwang-Sung Jun 100 38 0 05 Nov 2021
A Simple Approach for Non-stationary Linear Bandits Peng Zhao Lijun Zhang Yuan Jiang Zhi Zhou 80 85 0 09 Mar 2021
The Elliptical Potential Lemma for General Distributions with an Application to Linear Thompson Sampling N. Hamidi Mohsen Bayati 29 1 0 16 Feb 2021
The Elliptical Potential Lemma Revisited Alexandra Carpentier Claire Vernade Yasin Abbasi-Yadkori 178 21 0 20 Oct 2020
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension Ruosong Wang Ruslan Salakhutdinov Lin F. Yang 101 55 0 21 May 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability D. Simchi-Levi Yunzong Xu OffRL 441 112 0 28 Mar 2020