SS-L7: Learning and Optimization in Non-Convex Environments |
Session Type: Lecture |
Time: Tuesday, 5 May, 16:30 - 18:30 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chairs: Soummya Kar, Carnegie Mellon, Ali H. Sayed, EPFL and Stefan Vlaski, EPFL |
SS-L7.1: 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) |
SS-L7.2: 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) |
SS-L7.3: ON DISTRIBUTED STOCHASTIC GRADIENT ALGORITHMS FOR GLOBAL OPTIMIZATION |
Brian Swenson; Princeton University |
Anirudh Sridhar; Princeton University |
H. Vincent Poor; Princeton University |
SS-L7.4: DISTRIBUTED TENSOR COMPLETION OVER NETWORKS |
Claudio Battiloro; Sapienza University of Rome |
Paolo Di Lorenzo; Sapienza University of Rome |
SS-L7.5: 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 |
SS-L7.6: 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 |