SPTM-L4: Optimization Techniques I |
Session Type: Lecture |
Time: Wednesday, 6 May, 09:00 - 11:00 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Pascal Frossard, École Polytechnique Fédérale de Lausanne |
SPTM-L4.1: BALANCING RATES AND VARIANCE VIA ADAPTIVE BATCH-SIZES IN FIRST-ORDER STOCHASTIC OPTIMIZATION |
Zhan Gao; University of Pennsylvania |
Alec Koppel; U.S. Army Research Laboratory |
Alejandro Ribeiro; University of Pennsylvania |
SPTM-L4.2: A GREEDY SPARSE APPROXIMATION ALGORITHM BASED ON L1-NORM SELECTION RULES |
Ramzi Ben mhenni; Ecole Centrale de Nantes |
Sébastien Bourguignon; Ecole Centrale de Nantes |
Jérome Idier; Ecole Centrale de Nantes |
SPTM-L4.3: EXACT SPARSE NONNEGATIVE LEAST SQUARES |
Nicolas Nadisic; University of Mons |
Arnaud Vandaele; University of Mons |
Nicolas Gillis; University of Mons |
Jeremy Cohen; CNRS, Université de Rennes, Inria, IRISA. |
SPTM-L4.4: EPIGRAPHICAL REFORMULATION FOR NON-PROXIMABLE MIXED NORMS |
Seisuke Kyochi; University of Kitakyushu |
Shunsuke Ono; Tokyo Institute of Technology |
Ivan Selesnick; New York University |
SPTM-L4.5: FORWARD-BACKWARD SPLITTING FOR OPTIMAL TRANSPORT BASED PROBLEMS |
Guillermo Ortiz-Jiménez; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
Mireille El Gheche; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
Effrosyni Simou; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
Hermina Petric Maretic; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
Pascal Frossard; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
SPTM-L4.6: SSGD: SPARSITY-PROMOTING STOCHASTIC GRADIENT DESCENT ALGORITHM FOR UNBIASED DNN PRUNING |
Ching-Hua Lee; University of California, San Diego |
Igor Fedorov; ARM |
Bhaskar D. Rao; University of California, San Diego |
Harinath Garudadri; University of California, San Diego |