Technical Program

MLSP-L2: Tensor and Structured Matrix Methods I

Session Type: Lecture
Time: Tuesday, March 7, 13:30 - 15:30
Location: Grand Salon 3
Session Chair: Robert Jenssen, University of Tromso
 
MLSP-L2.1: MULTIMODAL SPARSE BAYESIAN DICTIONARY LEARNING APPLIED TO MULTIMODAL DATA CLASSIFICATION
         Igor Fedorov; University of California, San-Diego
         Bhaskar D. Rao; University of California, San-Diego
         Truong Q. Nguyen; University of California, San-Diego
 
MLSP-L2.2: PARALLELIZED STOCHASTIC GRADIENT MARKOV CHAIN MONTE CARLO ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION
         Umut Simsekli; LTCI, Télécom ParisTech
         Alain Durmus; LTCI, Télécom ParisTech
         Roland Badeau; LTCI, Télécom ParisTech
         Gaël Richard; LTCI, Télécom ParisTech
         Eric Moulines; École Polytechnique
         Ali Taylan Cemgil; Bogazici University
 
MLSP-L2.3: BAYESIAN NONPARAMETRIC SUBSPACE ESTIMATION
         Clément Elvira; University of Lille
         Pierre Chainais; University of Lille
         Nicolas Dobigeon; University of Toulouse
 
MLSP-L2.4: SECOND-ORDER TENSOR-BASED CONVOLUTIVE ICA: DECONVOLUTION VERSUS TENSORIZATION
         Frederik Van Eeghem; KU Leuven
         Lieven De Lathauwer; KU Leuven Kulak
 
MLSP-L2.5: PRIMAL-DUAL ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION WITH THE KULLBACK-LEIBLER DIVERGENCE
         Felipe Yanez; INSEAD
         Francis Bach; INRIA/École normale supérieure
 
MLSP-L2.6: A PROVABLE NONCONVEX MODEL FOR FACTORING NONNEGATIVE MATRICES
         Dung Tran; Johns Hopkins University
         Sang Chin; Johns Hopkins University
         Trac D. Tran; Johns Hopkins University