Thompson Sampling with Approximate Inference

14 August 2019

Papers citing "Thompson Sampling with Approximate Inference"

8 / 8 papers shown

Title
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits Ziyi Huang Henry Lam Haofeng Zhang 35 0 0 20 Jun 2024
Multiplier Bootstrap-based Exploration Runzhe Wan Haoyu Wei Branislav Kveton R. Song 21 3 0 03 Feb 2023
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network Yun-Da Tsai Shou-De Lin 51 5 0 17 Feb 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework Ziyi Huang Henry Lam A. Meisami Haofeng Zhang 38 4 0 31 Jan 2022
Bayesian decision-making under misspecified priors with applications to meta-learning Max Simchowitz Christopher Tosh A. Krishnamurthy Daniel J. Hsu Thodoris Lykouris Miroslav Dudík Robert Schapire 40 49 0 03 Jul 2021
Policy Optimization as Online Learning with Mediator Feedback Alberto Maria Metelli Matteo Papini P. DÓro Marcello Restelli OffRL 27 10 0 15 Dec 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 35 82 0 15 Jun 2020
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation Jackie Baek Vivek F. Farias 45 9 0 11 Jun 2020