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WE1.I: Optimization Techniques I

Session Type: Lecture
Time: Wednesday, 6 May, 09:00 - 11:00
Location: On-Demand
Session Chair: Pascal Frossard, École Polytechnique Fédérale de Lausanne
 
   WE1.I.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
 
   WE1.I.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
 
   WE1.I.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.
 
   WE1.I.4: EPIGRAPHICAL REFORMULATION FOR NON-PROXIMABLE MIXED NORMS
         Seisuke Kyochi; University of Kitakyushu
         Shunsuke Ono; Tokyo Institute of Technology
         Ivan Selesnick; New York University
 
   WE1.I.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)
 
   WE1.I.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