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Prateek Jaiswal

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#machine learning Preprint Sep 2026

Posterior Tempering Explains Variance Inflation in Linear and Generalized Linear Thompson Sampling

This work introduces a variant of the Thompson Sampling algorithm that uses a fractional or $\alpha$-posterior instead of the standard posterior, and identifies general regularity conditions on the prior and reward distributions that enable a regret analysis of $\alpha$-TS without assuming any tractable approximation o...

Prateek Jaiswal, D. Pati, A. Bhattacharya et al. · 0 citations

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