Technical Program

Paper Detail

Paper:MLSP-P5.4
Session:Theory and Modeling
Location:Poster Area E
Session Time:Thursday, March 24, 16:00 - 18:00
Presentation Time:Thursday, March 24, 16:00 - 18:00
Presentation: Poster
Topic: Machine Learning for Signal Processing: Bayesian Learning and Modeling
Paper Title: STOCHASTIC THERMODYNAMIC INTEGRATION: EFFICIENT BAYESIAN MODEL SELECTION VIA STOCHASTIC GRADIENT MCMC
Authors: Umut Simsekli, Roland Badeau, Gaël Richard, Télécom ParisTech, France; Ali Taylan Cemgil, Bogaziçi University, Turkey

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