Ali Arshad Sadal

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...