Author

Rahul Sharma

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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

#natural language process... Preprint Sep 2026

CORAL: An LLM-Native Harness for Production Recommender Systems

Production recommender systems shape what billions of people see, and sustaining their performance requires continual optimization: as content, user behavior, and upstream models shift, the choices governing retrieval, ranking, and serving must be revisited. Traditionally, human engineers test such changes through onli...

Muhammad Azhar, Yu-Hang Zhou, Gilbert Jiang et al. · 2 citations