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My ICASSP 2020 Schedule

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WE2.I: Optimization Algorithms I

Session Type: Lecture
Time: Wednesday, 6 May, 11:30 - 13:30
Location: On-Demand
Session Chair: Simo Särkkä, Aalto University
 
   WE2.I.1: PRIMAL-DUAL STOCHASTIC SUBGRADIENT METHOD FOR LOG-DETERMINANT OPTIMIZATION
         Songwei Wu; Nanyang Technological University
         Hang Yu; Nanyang Technological University
         Justin Dauwels; Nanyang Technological University
 
   WE2.I.2: NEURAL NETWORK TRAINING WITH APPROXIMATE LOGARITHMIC COMPUTATIONS
         Arnab Sanyal; University of Southern California
         Peter Beerel; University of Southern California
         Keith Chugg; University of Southern California
 
   WE2.I.3: AUTOMATIC AND SIMULTANEOUS ADJUSTMENT OF LEARNING RATE AND MOMENTUM FOR STOCHASTIC GRADIENT-BASED OPTIMIZATION METHODS
         Tomer Lancewicki; eBay
         Selcuk Kopru; eBay
 
   WE2.I.4: A STUDY OF GENERALIZATION OF STOCHASTIC MIRROR DESCENT ALGORITHMS ON OVERPARAMETERIZED NONLINEAR MODELS
         Navid Azizan; California Institute of Technology
         Sahin Lale; California Institute of Technology
         Babak Hassibi; California Institute of Technology
 
   WE2.I.5: ON DISTRIBUTED STOCHASTIC GRADIENT DESCENT FOR NONCONVEX FUNCTIONS IN THE PRESENCE OF BYZANTINES
         Saikiran Bulusu; Syracuse University
         Prashant Khanduri; Syracuse University
         Pranay Sharma; Syracuse University
         Pramod Varshney; Syracuse University
 
   WE2.I.6: PRECONDITIONING ADMM FOR FAST DECENTRALIZED OPTIMIZATION
         Meng Ma; University of Minnesota
         Georgios B. Giannakis; University of Minnesota