2 papers
cs.IR2023
High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits
David Young, Douglas Leith
We develop a novel latent-bandit algorithm for tackling the cold-start problem for new users joining a recommender system. This new algorithm significantly outperforms the state of…
cs.LG2023
Bandit Convex Optimisation Revisited: FTRL Achieves Regret
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 est…