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A quasi-Bayesian perspective to NMF: theory and applications

Institutional tag: 

Quasi-Bayesian estimators are increasingly popular in statistics and machine learning, due to their generalization properties and flexibility. In a recent work (Alquier & Guedj 2017, Mathematical Methods of Statistics), we have proposed a quasi-Bayesian estimator for non-negative matrix factorization. I will present a quick overview of quasi- and PAC-Bayesian frameworks and discuss our theoretical and algorithmic contributions.

Dates: 
Friday, March 24, 2017 - 11:00
Location: 
Inria, room A00
Speaker(s): 
Benjamin Guedj
Affiliation(s): 
Inria MODAL