Self-Concordant Analysis of Generalized Linear Bandits with Forgetting

2 November 2020

Papers citing "Self-Concordant Analysis of Generalized Linear Bandits with Forgetting"

10 / 10 papers shown

Title
Reinforcement Learning from Multi-level and Episodic Human Feedback Muhammad Qasim Elahi Somtochukwu Oguchienti Maheed H. Ahmed Mahsa Ghasemi OffRL 55 0 0 20 Apr 2025
Near Optimal Pure Exploration in Logistic Bandits Eduardo Ochoa Rivera Ambuj Tewari 25 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 33 4 0 19 Jul 2024
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 40 0 0 09 Jul 2024
Variance-Dependent Regret Bounds for Non-stationary Linear Bandits Zhiyong Wang Jize Xie Yi Chen J. C. Lui Dongruo Zhou 28 0 0 15 Mar 2024
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits Nicklas Werge Abdullah Akgul M. Kandemir 38 0 0 07 Jul 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits Jing Wang Peng Zhao Zhihong Zhou 35 5 0 05 Mar 2023
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits Marc Abeille Louis Faury Clément Calauzènes 96 37 0 23 Oct 2020
Algorithms for Non-Stationary Generalized Linear Bandits Yoan Russac Olivier Cappé Aurélien Garivier 43 24 0 23 Mar 2020
Weighted Linear Bandits for Non-Stationary Environments Yoan Russac Claire Vernade Olivier Cappé 82 101 0 19 Sep 2019