| Paper: | MLSP-L2.2 |
| Session: | Tensor and Structured Matrix Methods I |
| Location: | Grand Salon 3 |
| Session Time: | Tuesday, March 7, 13:30 - 15:30 |
| Presentation Time: | Tuesday, March 7, 13:50 - 14:10 |
| Presentation: |
Lecture
|
| Topic: |
Machine Learning for Signal Processing: Bayesian Learning and Modeling |
| Paper Title: |
PARALLELIZED STOCHASTIC GRADIENT MARKOV CHAIN MONTE CARLO ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION |
| Authors: |
Umut Simsekli, Alain Durmus, Roland Badeau, Gaël Richard, LTCI, Télécom ParisTech, France; Eric Moulines, École Polytechnique, France; Ali Taylan Cemgil, Bogazici University, Turkey |