Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Section: New Results

PAC-Bayesian Online Clustering

Participants : Benjamin Guedj, Le Li.

We have extended the PAC-Bayesian framework to online learning. Our algorithm (called PACBO) performs online clustering of random sequences, and is supported by strong theoretical (regret bounds) and algorithmic (ergodicity of an MCMC implementation) results. This work is now submitted to an international journal [46].

Joint work with Sébastien Loustau.