Optimization
SEGA: Variance Reduction via Gradient Sketching
Filip Hanzely, Konstantin Mishchenko, Peter Richtarik
Neural Information Processing Systems http://nips.cc/
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives
Song Zhou, Swati Gupta, Madeleine Udell
Neural Information Processing Systems http://nips.cc/
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
Richard Zhang, Cedric Josz, Somayeh Sojoudi, Javad Lavaei
Neural Information Processing Systems http://nips.cc/
Counting the Optimal Solutions in Graphical Models
Neural Information Processing Systems http://nips.cc/
Learning convex bounds for linear quadratic control policy synthesis
Jack Umenberger, Thomas B. Schรถn
Neural Information Processing Systems http://nips.cc/
Primal-DualBlockGeneralized Frank-Wolfe
We propose a generalized variant of Frank-Wolfe algorithm for solving a class ofsparse/low-rank optimization problems.
