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Eyke Hüllermeier

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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
Jul 2026

The Boundaries of Automation: A Theory of Persistent Human Participation

It is argued that human participation may persist even with highly capable AI systems for three distinct reasons, and this perspective has important implications for the limits of automation and for the design, evaluation, and ethics of future AI systems.

Fares Fourati, Hinrich Schütze, Eyke Hüllermeier et al. · 0 citations

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