Quantum algorithm for finding the negative curvature direction in non-convex optimization

17 September 2019

Papers citing "Quantum algorithm for finding the negative curvature direction in non-convex optimization"

8 / 8 papers shown

Title
On Nonconvex Optimization for Machine Learning: Gradients, Stochasticity, and Saddle Points Chi Jin Praneeth Netrapalli Rong Ge Sham Kakade Michael I. Jordan 69 61 0 13 Feb 2019
Gradient Descent Happens in a Tiny Subspace Guy Gur-Ari Daniel A. Roberts Ethan Dyer 66 233 0 12 Dec 2018
How to Escape Saddle Points Efficiently Chi Jin Rong Ge Praneeth Netrapalli Sham Kakade Michael I. Jordan ODL 193 835 0 02 Mar 2017
Finding Approximate Local Minima Faster than Gradient Descent Naman Agarwal Zeyuan Allen-Zhu Brian Bullins Elad Hazan Tengyu Ma 76 83 0 03 Nov 2016
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 132 1,058 0 06 Mar 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 249 1,196 0 30 Nov 2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization Yann N. Dauphin Razvan Pascanu Çağlar Gülçehre Kyunghyun Cho Surya Ganguli Yoshua Bengio ODL 121 1,383 0 10 Jun 2014
Quantum support vector machine for big data classification Patrick Rebentrost Masoud Mohseni S. Lloyd 73 600 0 01 Jul 2013