Saving Gradient and Negative Curvature Computations: Finding Local Minima More Efficiently

11 December 2017

Quanquan Gu

Papers citing "Saving Gradient and Negative Curvature Computations: Finding Local Minima More Efficiently"

3 / 3 papers shown

Title
Sub-sampled Cubic Regularization for Non-convex Optimization Jonas Köhler Aurelien Lucchi 31 165 0 16 May 2017
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach Dohyung Park Anastasios Kyrillidis Constantine Caramanis Sujay Sanghavi 37 180 0 12 Sep 2016
Matrix Completion has No Spurious Local Minimum Rong Ge Jason D. Lee Tengyu Ma 44 597 0 24 May 2016