Kaizheng Wang
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Optimization and Control×1AI×1ML×1Stats ML×1
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2026
MINTS: Minimalist Thompson Sampling
The paper introduces MINTS, a minimalist Bayesian framework that simplifies sequential decision-making by placing priors only on the optimum location, allowing for the incorporation of structural constraints and achieving near-optimal regret bounds in multi-armed bandits.
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