Generalized Thompson Sampling for Contextual Bandits

27 October 2013

Papers citing "Generalized Thompson Sampling for Contextual Bandits"

11 / 11 papers shown

Title
Optimal Exploration is no harder than Thompson Sampling Zhaoqi Li Kevin Jamieson Lalit P. Jain 32 2 0 09 Oct 2023
A Scalable Recommendation Engine for New Users and Items Boya Xu Yiting Deng C. Mela 35 2 0 06 Sep 2022
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits Gergely Neu Julia Olkhovskaya Matteo Papini Ludovic Schwartz 44 16 0 27 May 2022
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users Li Zhou Emma Brunskill 19 62 0 22 Apr 2016
Online Stochastic Linear Optimization under One-bit Feedback Lijun Zhang Tianbao Yang Rong Jin Zhi-Hua Zhou 12 65 0 25 Sep 2015
On the Prior Sensitivity of Thompson Sampling Che-Yu Liu Lihong Li 19 24 0 10 Jun 2015
A Note on Information-Directed Sampling and Thompson Sampling Li Zhou 29 1 0 24 Mar 2015
Personalized Web Search Li Zhou 23 18 0 03 Feb 2015
An Information-Theoretic Analysis of Thompson Sampling Daniel Russo Benjamin Van Roy 34 421 0 21 Mar 2014
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits Alekh Agarwal Daniel J. Hsu Satyen Kale John Langford Lihong Li Robert Schapire OffRL 30 503 0 04 Feb 2014
Learning to Optimize Via Posterior Sampling Daniel Russo Benjamin Van Roy 50 694 0 11 Jan 2013