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Oral
Thu Jul 12 08:30 PM -- 08:50 PM (KST) @ A9
Shampoo: Preconditioned Stochastic Tensor Optimization
In Optimization (Convex) 3
Vineet Gupta · Tomer Koren · Yoram Singer
[ PDF] 
Oral
Thu Jul 12 08:50 PM -- 09:00 PM (KST) @ A9
Characterizing Implicit Bias in Terms of Optimization Geometry
In Optimization (Convex) 3
Suriya Gunasekar · Jason Lee · Daniel Soudry · Nati Srebro
[ PDF] 
Oral
Thu Jul 12 09:00 PM -- 09:10 PM (KST) @ A9
A Distributed Second-Order Algorithm You Can Trust
In Optimization (Convex) 3
Celestine Mendler-Dünner · Aurelien Lucchi · Matilde Gargiani · Yatao Bian · Thomas Hofmann · Martin Jaggi
[ PDF] 
Oral
Thu Jul 12 09:10 PM -- 09:20 PM (KST) @ A9
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning
In Optimization (Convex) 3
Konstantin Mishchenko · Franck Iutzeler · Jérôme Malick · Massih-Reza Amini
[ PDF] 
Oral
Thu Jul 12 09:20 PM -- 09:30 PM (KST) @ A9
Gradient Coding from Cyclic MDS Codes and Expander Graphs
In Optimization (Convex) 3
Netanel Raviv · Rashish Tandon · Alexandros Dimakis · Itzhak Tamo
[ PDF]