A Generic Approach for Escaping Saddle points

A Generic Approach for Escaping Saddle points

5 September 2017

Sashank J. Reddi

Barnabás Póczós

Francis R. Bach

Ruslan Salakhutdinov

Papers citing "A Generic Approach for Escaping Saddle points"

13 / 13 papers shown

Title
Tackling benign nonconvexity with smoothing and stochastic gradients Harsh Vardhan Sebastian U. Stich 28 8 0 18 Feb 2022
Escaping Saddle Points with Compressed SGD Dmitrii Avdiukhin G. Yaroslavtsev 22 4 0 21 May 2021
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning Z. Yao A. Gholami Sheng Shen Mustafa Mustafa Kurt Keutzer Michael W. Mahoney ODL 39 273 0 01 Jun 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 37 1,391 0 29 Feb 2020
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization Seonho Park Seung Hyun Jung P. Pardalos ODL 29 15 0 27 Jun 2019
SGD Converges to Global Minimum in Deep Learning via Star-convex Path Yi Zhou Junjie Yang Huishuai Zhang Yingbin Liang Vahid Tarokh 14 71 0 02 Jan 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator Cong Fang C. J. Li Zhouchen Lin Tong Zhang 50 570 0 04 Jul 2018
Stochastic Nested Variance Reduction for Nonconvex Optimization Dongruo Zhou Pan Xu Quanquan Gu 25 146 0 20 Jun 2018
On Gradient-Based Learning in Continuous Games Eric Mazumdar Lillian J. Ratliff S. Shankar Sastry 16 134 0 16 Apr 2018
Escaping Saddles with Stochastic Gradients Hadi Daneshmand Jonas Köhler Aurelien Lucchi Thomas Hofmann 24 161 0 15 Mar 2018
On the insufficiency of existing momentum schemes for Stochastic Optimization Rahul Kidambi Praneeth Netrapalli Prateek Jain Sham Kakade ODL 27 117 0 15 Mar 2018
Neon2: Finding Local Minima via First-Order Oracles Zeyuan Allen-Zhu Yuanzhi Li 21 130 0 17 Nov 2017
Natasha 2: Faster Non-Convex Optimization Than SGD Zeyuan Allen-Zhu ODL 28 245 0 29 Aug 2017