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Oral
Fri Jul 13 12:00 AM -- 12:20 AM (KST) @ A9
Stochastic Wasserstein Barycenters
In Optimization (Non-convex) 4
Sebastian Claici · Edward Chien · Justin Solomon
[ PDF] 
Oral
Fri Jul 13 12:20 AM -- 12:30 AM (KST) @ A9
Learning Compact Neural Networks with Regularization
In Optimization (Non-convex) 4
Samet Oymak
[ PDF] 
Oral
Fri Jul 13 12:30 AM -- 12:40 AM (KST) @ 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
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ 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
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ A9
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation
In Optimization (Non-convex) 4
Qiang Sun · Kean Ming Tan · Han Liu · Tong Zhang
[ PDF]