An Experimental Design Approach for Regret Minimization in Logistic Bandits

4 February 2022

Papers citing "An Experimental Design Approach for Regret Minimization in Logistic Bandits"

7 / 7 papers shown

Title
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 40 4 0 19 Jul 2024
Optimal Design for Human Feedback Subhojyoti Mukherjee Anusha Lalitha Kousha Kalantari Aniket Deshmukh Ge Liu Yifei Ma B. Kveton 48 5 0 22 Apr 2024
Generalized Linear Bandits with Limited Adaptivity Ayush Sawarni Nirjhar Das Siddharth Barman Gaurav Sinha 42 3 0 10 Apr 2024
Experimental Designs for Heteroskedastic Variance Justin Weltz Tanner Fiez Alex Volfovsky Eric B. Laber Blake Mason Houssam Nassif Lalit P. Jain 32 3 0 06 Oct 2023
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards Hao Qin Kwang-Sung Jun Chicheng Zhang 38 0 0 28 Apr 2023
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification James A. Grant David S. Leslie 44 3 0 29 Sep 2021
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits Marc Abeille Louis Faury Clément Calauzènes 96 37 0 23 Oct 2020