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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

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
Jul 2026

The Boundaries of Automation: A Theory of Persistent Human Participation

The rapid progress of AI has intensified the long-standing pursuit of automation: replacing human participation with algorithms wherever possible. Implicit in this pursuit is the assumption that humans remain in the loop only because current AI systems are not yet sufficiently capable. This paper challenges that assump...

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

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