- Submitted to Entropy. Pages 1 -9. OPEN ACCESS
- ON APPROXIMATE MAXIMUM LIKELIHOOD METHODS FOR BLIND IDENTIFICATION: HOW TO COPE WITH THE CURSE OF DIMENSIONALITY
- ON OPTIMAL SAMPLING FOR PARTICLE FILTERING IN DIGITAL COMMUNICATION Steffen Barembruch, Aurelien Garivier, Eric Moulines
- IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 57, NO. 11, NOVEMBER 2009 4247 On Approximate Maximum-Likelihood Methods for
- JOURNAL OF LATEX CLASS FILES, VOL. 1, NO. 11, NOVEMBER 2002 1 JOURNAL OF LATEX CLASS FILES, VOL. 1, NO. 11, NOVEMBER 2002 2
- JSPI : 3709 ARTICLE IN PRESS Journal of Statistical Planning and Inference ( ) --
- Bandits contextuels : apprentissage par renforcement dans les mod`eles lineaires generalises
- Parsing et codage universel Aur#lien Garivier
- N o d'ordre: 00000 devant l'Universit Paris 11
- Redundancy of the Context-tree Weighting Method on Renewal and Markov Renewal Processes
- PSEUDO-REGENERATIVE BLOCK-BOOTSTRAP FOR HIDDEN MARKOV CHAINS S. Clemencon, A. Garivier
- A Propp-Wilson perfect simulation scheme for processes with long memory
- On Bayesian Upper Confidence Bounds for Bandit Problems Emilie Kaufmann Olivier Cappe Aurelien Garivier
- Submitted to the Annals of Applied Probability SEQUENTIAL MONTE CARLO SMOOTHING FOR GENERAL
- On Upper-Confidence Bound Policies for Switching Bandit Aurelien Garivier and Eric Moulines
- devant l'Universit Paris 11 pour obtenir
