Escaping Saddle Points in Constrained Optimization

Escaping Saddle Points in Constrained Optimization

6 September 2018

Asuman Ozdaglar

Papers citing "Escaping Saddle Points in Constrained Optimization"

9 / 9 papers shown

Title
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization Yian Deng Tingting Mu 28 1 0 22 Feb 2023
MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities Parker C. Lusk Kaveh Fathian Jonathan P. How 29 1 0 15 Oct 2022
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem Ruichen Jiang Nazanin Abolfazli Aryan Mokhtari Erfan Yazdandoost Hamedani 43 21 0 17 Jun 2022
Stochastic Gradient Langevin Dynamics with Variance Reduction Zhishen Huang Stephen Becker 17 7 0 12 Feb 2021
One Sample Stochastic Frank-Wolfe Mingrui Zhang Zebang Shen Aryan Mokhtari Hamed Hassani Amin Karbasi 22 57 0 10 Oct 2019
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems Songtao Lu Meisam Razaviyayn Bo Yang Kejun Huang Mingyi Hong 27 11 0 09 Jul 2019
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization Quoc Tran-Dinh Nhan H. Pham T. Dzung Lam M. Nguyen 27 49 0 08 Jul 2019
Efficiently escaping saddle points on manifolds Christopher Criscitiello Nicolas Boumal 25 62 0 10 Jun 2019
Escaping Saddle Points with Adaptive Gradient Methods Matthew Staib Sashank J. Reddi Satyen Kale Sanjiv Kumar S. Sra ODL 16 73 0 26 Jan 2019