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Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits

4 June 2020

Papers citing "Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits"

26 / 26 papers shown

Title
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Zhuohua Li Maoli Liu Xiangxiang Dai John C. S. Lui 75 2 0 03 Jan 2025
Linear Contextual Bandits with Hybrid Payoff: Revisited Nirjhar Das Gaurav Sinha 52 2 0 14 Jun 2024
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries Tianyuan Jin Kyoungseok Jang Nicolò Cesa-Bianchi 85 1 0 03 Jun 2024
Symmetric Linear Bandits with Hidden Symmetry Nam-Phuong Tran T. Ta Debmalya Mandal Long Tran-Thanh 109 0 0 22 May 2024
Data-Driven Online Model Selection With Regret Guarantees Aldo Pacchiano Christoph Dann Claudio Gentile OffRL 116 3 0 05 Jun 2023
On the Complexity of Representation Learning in Contextual Linear Bandits Andrea Tirinzoni Matteo Pirotta A. Lazaric 61 1 0 19 Dec 2022
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees Andrea Tirinzoni Matteo Papini Ahmed Touati A. Lazaric Matteo Pirotta 68 4 0 24 Oct 2022
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference Debangshu Banerjee Avishek Ghosh Sayak Ray Chowdhury Aditya Gopalan 68 10 0 23 Jul 2022
Model Selection in Reinforcement Learning with General Function Approximations Avishek Ghosh Sayak Ray Chowdhury 45 3 0 06 Jul 2022
Best of Both Worlds Model Selection Aldo Pacchiano Christoph Dann Claudio Gentile 81 10 0 29 Jun 2022
$Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits$ Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits Avishek Ghosh Abishek Sankararaman 52 4 0 19 May 2022
Norm-Agnostic Linear Bandits Spencer S. Gales S. Sethuraman Kwang-Sung Jun 57 11 0 03 May 2022
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles Aldo G. Carranza Sanath Kumar Krishnamurthy Susan Athey 48 1 0 30 Mar 2022
Leveraging Initial Hints for Free in Stochastic Linear Bandits Ashok Cutkosky Christoph Dann Abhimanyu Das Qiuyi Qiuyi Zhang 51 5 0 08 Mar 2022
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms Jeongyeol Kwon Yonathan Efroni Constantine Caramanis Shie Mannor AAML 93 6 0 30 Jan 2022
Model Selection in Batch Policy Optimization Jonathan Lee George Tucker Ofir Nachum Bo Dai OffRL 93 12 0 23 Dec 2021
Universal and data-adaptive algorithms for model selection in linear contextual bandits Vidya Muthukumar A. Krishnamurthy 71 5 0 08 Nov 2021
The Pareto Frontier of model selection for general Contextual Bandits T. V. Marinov Julian Zimmert 98 22 0 25 Oct 2021
Model Selection for Generic Reinforcement Learning Avishek Ghosh Sayak Ray Chowdhury Kannan Ramchandran 47 1 0 13 Jul 2021
Model Selection for Generic Contextual Bandits Avishek Ghosh Abishek Sankararaman Kannan Ramchandran 76 6 0 07 Jul 2021
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL Weitong Zhang Jiafan He Dongruo Zhou Amy Zhang Quanquan Gu OffRL 72 11 0 22 Jun 2021
Adaptive Clustering and Personalization in Multi-Agent Stochastic Linear Bandits A. Ghosh Abishek Sankararaman Kannan Ramchandran 104 4 0 15 Jun 2021
Leveraging Good Representations in Linear Contextual Bandits Matteo Papini Andrea Tirinzoni Marcello Restelli A. Lazaric Matteo Pirotta 73 27 0 08 Apr 2021
Pareto Optimal Model Selection in Linear Bandits Yinglun Zhu Robert D. Nowak 43 14 0 12 Feb 2021
Upper Confidence Bounds for Combining Stochastic Bandits Ashok Cutkosky Abhimanyu Das Manish Purohit 47 9 0 24 Dec 2020
Regret Bound Balancing and Elimination for Model Selection in Bandits and RL Aldo Pacchiano Christoph Dann Claudio Gentile Peter L. Bartlett 98 49 0 24 Dec 2020