Incentivized Exploration via Filtered Posterior Sampling

20 February 2024

Papers citing "Incentivized Exploration via Filtered Posterior Sampling"

15 / 15 papers shown

Title
Incentivizing Exploration with Linear Contexts and Combinatorial Actions Mark Sellke 53 4 0 03 Jun 2023
Incentivizing Combinatorial Bandit Exploration Xinyan Hu Dung Daniel Ngo Aleksandrs Slivkins Zhiwei Steven Wu 40 12 0 01 Jun 2022
Greedy Algorithm almost Dominates in Smoothed Contextual Bandits Manish Raghavan Aleksandrs Slivkins Jennifer Wortman Vaughan Zhiwei Steven Wu 355 18 0 19 May 2020
The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity Mark Sellke Aleksandrs Slivkins 109 35 0 03 Feb 2020
Introduction to Multi-Armed Bandits Aleksandrs Slivkins 656 1,023 0 15 Apr 2019
Mostly Exploration-Free Algorithms for Contextual Bandits Hamsa Bastani Mohsen Bayati Khashayar Khosravi 373 159 0 28 Apr 2017
An Information-Theoretic Analysis of Thompson Sampling Daniel Russo Benjamin Van Roy 181 426 0 21 Mar 2014
Matroid Bandits: Fast Combinatorial Optimization with Learning Branislav Kveton Zheng Wen Azin Ashkan Hoda Eydgahi Brian Eriksson 109 121 0 20 Mar 2014
Prior-free and prior-dependent regret bounds for Thompson Sampling Sébastien Bubeck Che-Yu Liu 122 96 0 21 Apr 2013
Learning to Optimize Via Posterior Sampling Daniel Russo Benjamin Van Roy 223 703 0 11 Jan 2013
Further Optimal Regret Bounds for Thompson Sampling Shipra Agrawal Navin Goyal 115 442 0 15 Sep 2012
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 207 1,006 0 15 Sep 2012
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis E. Kaufmann N. Korda Rémi Munos 179 588 0 18 May 2012
A Variant of Azuma's Inequality for Martingales with Subgaussian Tails Ohad Shamir 79 37 0 11 Oct 2011
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 473 2,957 0 28 Feb 2010