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

Many recommender services repeatedly encounter cold-start cohorts, where new users arrive with little or no interaction history. This creates two challenges: learning user preferences quickly from limited feedback and sustaining useful recommendations when each user has a finite catalog that can become repetitive or de...

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