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11/15/2022
Bayesian Fixed-Budget Best-Arm Identification
Fixed-budget best-arm identification (BAI) is a bandit problem where the...
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05/30/2022
Generalizing Hierarchical Bayesian Bandits
A contextual bandit is a popular and practical framework for online lear...
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06/10/2021
Thompson Sampling with a Mixture Prior
We study Thompson sampling (TS) in online decision-making problems where...
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02/11/2021
Meta-Thompson Sampling
Efficient exploration in multi-armed bandits is a fundamental online lea...
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06/21/2019
Randomized Exploration in Generalized Linear Bandits
We study two randomized algorithms for generalized linear bandits, GLM-T...
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04/20/2019
Waterfall Bandits: Learning to Sell Ads Online
A popular approach to selling online advertising is by a waterfall, wher...
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11/13/2018
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits
We propose a multi-armed bandit algorithm that explores based on randomi...
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06/15/2018
