Convergence Analysis of Homotopy-SGD for non-convex optimization

20 November 2020

Papers citing "Convergence Analysis of Homotopy-SGD for non-convex optimization"

7 / 7 papers shown

Title
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron Sharan Vaswani Francis R. Bach Mark Schmidt 50 297 0 16 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 759 11,793 0 09 Mar 2017
On Graduated Optimization for Stochastic Non-Convex Problems Elad Hazan Kfir Y. Levy Shai Shalev-Shwartz 46 115 0 12 Mar 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 145 8,309 0 06 Nov 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 71 1,538 0 22 Sep 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 380 7,650 0 03 Jul 2012
A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem Lin Xiao Tong Zhang 53 146 0 14 Mar 2012