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Oral
Thu Jul 12 08:00 AM -- 08:20 AM (PDT) @ A9
Stochastic Wasserstein Barycenters
In Optimization (Non-convex) 4
Sebastian Claici · Edward Chien · Justin Solomon
[ PDF] 
Oral
Thu Jul 12 08:20 AM -- 08:30 AM (PDT) @ A9
Learning Compact Neural Networks with Regularization
In Optimization (Non-convex) 4
Samet Oymak
[ PDF] 
Oral
Thu Jul 12 08:30 AM -- 08:40 AM (PDT) @ A9
Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis
In Optimization (Non-convex) 4
Hiroyuki Kasai · Hiroyuki Sato · Bamdev Mishra
[ PDF] 
Oral
Thu Jul 12 08:40 AM -- 08:50 AM (PDT) @ A9
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering
In Optimization (Non-convex) 4
Ahmed Douik · Babak Hassibi
[ PDF] 
Oral
Thu Jul 12 08:50 AM -- 09:00 AM (PDT) @ A9
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation
In Optimization (Non-convex) 4
Qiang Sun · Kean Ming Tan · Han Liu · Tong Zhang
[ PDF]