Improved Confidence Bounds for the Linear Logistic Model and
Applications to Linear Bandits

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Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits

23 November 2020

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Papers citing "Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits"

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Title
Neural Logistic Bandits Seoungbin Bae Dabeen Lee 527 0 0 04 May 2025
Enhancing Preference-based Linear Bandits via Human Response Time Shen Li Yuyang Zhang Tongzheng Ren Claire Liang Na Li J. Shah 183 1 0 03 Jan 2025
Near Optimal Pure Exploration in Logistic Bandits Eduardo Ochoa Rivera Ambuj Tewari 94 0 0 28 Oct 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 192 6 0 19 Jul 2024
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits Wonyoung Hedge Kim Kyungbok Lee M. Paik 95 14 0 15 Sep 2022
One for All: Simultaneous Metric and Preference Learning over Multiple Users Gregory H. Canal Blake Mason Ramya Korlakai Vinayak R. Nowak FedML 53 11 0 07 Jul 2022
$Choosing Answers in $\varepsilon$-Best-Answer Identification for Linear Bandits$ Choosing Answers in $\varepsilon$ -Best-Answer Identification for Linear Bandits Marc Jourdan Rémy Degenne 42 1 0 09 Jun 2022
Reinforcement Learning with a Terminator Guy Tennenholtz Nadav Merlis Lior Shani Shie Mannor Uri Shalit Gal Chechik Assaf Hallak Gal Dalal 65 5 0 30 May 2022
An Experimental Design Approach for Regret Minimization in Logistic Bandits Blake Mason Kwang-Sung Jun Lalit P. Jain 69 10 0 04 Feb 2022
Jointly Efficient and Optimal Algorithms for Logistic Bandits Louis Faury Marc Abeille Kwang-Sung Jun Clément Calauzènes 87 21 0 06 Jan 2022
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification James A. Grant David S. Leslie 82 3 0 29 Sep 2021
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood Madison Coots Henry Zhu Emma Brunskill Sharad Goel FaML 82 25 0 18 Sep 2021
Parallelizing Thompson Sampling Amin Karbasi Vahab Mirrokni M. Shadravan 109 25 0 02 Jun 2021