Author

S. Vollmer

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#artificial intelligence Preprint Sep 2026

Challenges and Solutions for Bandits in the Wild: Warm-Started Mixture Bandits for Cross-Cohort Slate Recommendation

This work proposes CohortMix-TS, a warm-started mixture bandit that learns latent user groups from earlier cohorts and uses available metadata to construct group-informed priors for new users, and shows how warm-start transfer and inventory-aware recommendations can support personalization for short-lived, repeatedly c...

Serafima Lebedeva, Sumantrak Mukherjee, Ali Arshad Sadal et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Accounting for Bias Enables Sustainable LLM Evaluation

A unified latent variable framework is proposed that jointly models pairwise and ordinal data while explicitly correcting for confounders, recovering reliable rankings from substantially fewer comparisons, and is not only more statistically rigorous but also a more sustainable approach to trustworthy evaluation.

H. Katoch, D. A. Selby, Gerrit Großmann et al. · 1 citation