Section: New Results
Online Adaptive Clustering
Participant : Benjamin Guedj.
The quasi-Bayesian perspective has been extended to online adaptive clustering. Data streams are clustered dynamically with a quasi-Bayesian-flavored predictor, and we have proven minimax regret bounds. An efficient MCMC-based implementation is proposed.