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Bing-Kui Tong

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#machine learning Preprint Oct 2026

Accelerating Linear Bandits with Persistent Candidate Sets

Exhaustive optimistic scoring can make action selection costly in linear bandits with a large fixed set of $K$ actions, requiring $\mathcal{O}(K)$ score evaluations per round. We introduce Persistent Candidate LinUCB (\textsc{PC-LinUCB}), which maintains $k$ active actions and samples $q$ challengers uniformly from the...

Bing-Kui Tong, Daria Korovaitceva, M. Sheshukova et al. · 0 citations

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