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Paper

Efficient Multinomial Logistic Bandit via Frequent Directions

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AI summary

arXiv:2606. 11968v1 Announce Type: cross Abstract: This paper studies efficient online algorithms for multinomial logistic bandits (MLogB), where the feedback distribution over $K+1$ outcomes follows a multinomial logistic model of $d$-dimensional action vectors.