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TU2.I: Learning and Optimization in Non-Convex Environments

Session Type: Lecture
Time: Tuesday, 5 May, 16:30 - 18:30
Location: On-Demand
Session Chairs: Soummya Kar, Carnegie Mellon, Ali H. Sayed, EPFL and Stefan Vlaski, EPFL
 
   TU2.I.1: SCALABLE LEARNING-BASED SAMPLING OPTIMIZATION FOR COMPRESSIVE DYNAMIC MRI
         Thomas Sanchez; Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Baran Gözcü; Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Ruud B. van Heeswijk; Centre Hospitalier Universitaire Vaudois
         Armin Eftekhari; Umeå university
         Efe Ilıcak; Bilkent University
         Tolga Çukur; Bilkent University
         Volkan Cevher; Ecole Polytechnique Fédérale de Lausanne (EPFL)
 
   TU2.I.2: LINEAR SPEEDUP IN SADDLE-POINT ESCAPE FOR DECENTRALIZED NON-CONVEX OPTIMIZATION
         Stefan Vlaski; Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Ali H. Sayed; Ecole Polytechnique Fédérale de Lausanne (EPFL)
 
   TU2.I.3: ON DISTRIBUTED STOCHASTIC GRADIENT ALGORITHMS FOR GLOBAL OPTIMIZATION
         Brian Swenson; Princeton University
         Anirudh Sridhar; Princeton University
         H. Vincent Poor; Princeton University
 
   TU2.I.4: DISTRIBUTED TENSOR COMPLETION OVER NETWORKS
         Claudio Battiloro; Sapienza University of Rome
         Paolo Di Lorenzo; Sapienza University of Rome
 
   TU2.I.5: LOOKAHEAD CONVERGES TO STATIONARY POINTS OF SMOOTH NON-CONVEX FUNCTIONS
         Jianyu Wang; Carnegie Mellon University
         Vinayak Tantia; Facebook AI Research
         Nicolas Ballas; Facebook AI Research
         Michael Rabbat; Facebook AI Research
 
   TU2.I.6: COMMUNICATION CONSTRAINED LEARNING WITH UNCERTAIN MODELS
         James Hare; U.S. Army Research Laboratory
         Cesar Uribe; Massachusetts Institute of Technology
         Lance Kaplan; U.S. Army Research Laboratory
         Ali Jadbabaie; Massachusetts Institute of Technology