Search Results for author: David Young

Found 8 papers, 0 papers with code

High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits

no code implementations12 May 2023 David Young, Douglas Leith

We develop a novel latent-bandit algorithm for tackling the cold-start problem for new users joining a recommender system.

Recommendation Systems

Bandit Convex Optimisation Revisited: FTRL Achieves $\tilde{O}(t^{1/2})$ Regret

no code implementations1 Feb 2023 David Young, Douglas Leith, George Iosifidis

We show that a kernel estimator using multiple function evaluations can be easily converted into a sampling-based bandit estimator with expectation equal to the original kernel estimate.

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