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Oral
Thu Jul 12th 05:00 -- 05:20 PM @ A9
Stochastic Wasserstein Barycenters
Sebastian Claici · Edward Chien · Justin Solomon
Oral
Thu Jul 12th 05:20 -- 05:30 PM @ A9
Learning Compact Neural Networks with Regularization
Samet Oymak
Oral
Thu Jul 12th 05:30 -- 05:40 PM @ A9
Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis
Hiroyuki Kasai · Hiroyuki Sato · Bamdev Mishra
Oral
Thu Jul 12th 05:40 -- 05:50 PM @ A9
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering
Ahmed Douik · Babak Hassibi
Oral
Thu Jul 12th 05:50 -- 06:00 PM @ A9
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation
Qiang Sun · Kean Ming Tan · Han Liu · Tong Zhang