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Incentivized Exploration via Filtered Posterior Sampling
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-34106-9_18openalex-extracted
Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis
inferredcites →https://doi.org/10.1007/s10994-010-5178-7openalex-extracted
Regret bounds for sleeping experts and bandits
inferredcites →https://doi.org/10.1016/0024-3795(94)00014-5openalex-extracted
Majorization relations for Hadamard products
inferredcites →https://doi.org/10.1016/0196-8858(85)90002-8openalex-extracted
Asymptotically efficient adaptive allocation rules
inferredcites →https://doi.org/10.1017/cbo9780511546921openalex-extracted
Prediction, Learning, and Games
inferredcites →https://doi.org/10.1023/a:1013689704352openalex-extracted
Finite-time Analysis of the Multiarmed Bandit Problem
inferredcites →https://doi.org/10.1086/676597openalex-extracted
Implementing the “Wisdom of the Crowd”
inferredcites →https://doi.org/10.1093/qje/qjx044openalex-extracted
Recommender Systems as Mechanisms for Social Learning*
inferredcites →https://doi.org/10.1109/ciss.2014.6814158openalex-extracted
Prior-free and prior-dependent regret bounds for Thompson Sampling
inferredcites →https://doi.org/10.1109/tit.2011.2104450openalex-extracted
A Note on Performance Limitations in Bandit Problems With Side Information
inferredcites →https://doi.org/10.1137/19m1247115openalex-extracted
Greedy Algorithm Almost Dominates in Smoothed Contextual Bandits
inferredcites →https://doi.org/10.1145/2764468.2764508openalex-extracted
Bayesian Incentive-Compatible Bandit Exploration
inferredcites →https://doi.org/10.1145/2940716.2940719openalex-extracted
Economic Recommendation Systems
inferredcites →https://doi.org/10.1145/3328526.3329569openalex-extracted
Social Learning and the Innkeeper's Challenge
inferredcites →https://doi.org/10.1145/3391403.3399487openalex-extracted
Incentivizing Exploration with Selective Data Disclosure
inferredcites →https://doi.org/10.1146/annurev-economics-080218-025739openalex-extracted
Bayesian Persuasion and Information Design
inferredcites →https://doi.org/10.1257/jel.20181489openalex-extracted
Information Design: A Unified Perspective
inferredcites →https://doi.org/10.1287/mnsc.2020.3605openalex-extracted
Mostly Exploration-Free Algorithms for Contextual Bandits
inferredcites →https://doi.org/10.1287/moor.2014.0650openalex-extracted
Learning to Optimize via Posterior Sampling
inferredcites →https://doi.org/10.1287/opre.2019.1949openalex-extracted
Bayesian Incentive-Compatible Bandit Exploration
inferredcites →https://doi.org/10.1287/opre.2022.2401openalex-extracted
The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity
inferredcites →https://doi.org/10.48550/arxiv.1110.2392openalex-extracted
A Variant of Azuma's Inequality for Martingales with Subgaussian Tails
inferredcites →https://doi.org/10.48550/arxiv.1111.1797openalex-extracted
Analysis of Thompson Sampling for the multi-armed bandit problem
inferredcites →https://doi.org/10.48550/arxiv.1403.5045openalex-extracted
Matroid Bandits: Fast Combinatorial Optimization with Learning
inferredcites →https://doi.org/10.48550/arxiv.1403.5341openalex-extracted
An Information-Theoretic Analysis of Thompson Sampling
inferredcites →https://doi.org/10.48550/arxiv.1703.00048openalex-extracted
Provably Optimal Algorithms for Generalized Linear Contextual Bandits
inferredcites →https://doi.org/10.48550/arxiv.2306.01990openalex-extracted
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
inferredcites →https://doi.org/10.52202/068431-2694openalex-extracted
Incentivizing Combinatorial Bandit Exploration
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