Improving Levenberg-Marquardt Algorithm for Neural Networks

17 December 2022

Papers citing "Improving Levenberg-Marquardt Algorithm for Neural Networks"

9 / 9 papers shown

Title
Black Box Lie Group Preconditioners for SGD Xi-Lin Li 35 8 0 08 Nov 2022
Causal Structural Hypothesis Testing and Data Generation Models Jeffrey Q. Jiang Omead Brandon Pooladzandi Sunay Bhat Gregory Pottie CML 53 1 0 20 Oct 2022
Adaptive Second Order Coresets for Data-efficient Machine Learning Omead Brandon Pooladzandi David Davini Baharan Mirzasoleiman 74 64 0 28 Jul 2022
Efficient Subsampled Gauss-Newton and Natural Gradient Methods for Training Neural Networks Yi Ren D. Goldfarb 53 36 0 05 Jun 2019
Preconditioner on Matrix Lie Group for SGD Xi-Lin Li 36 16 0 26 Sep 2018
Online Second Order Methods for Non-Convex Stochastic Optimizations Xi-Lin Li OffRL ODL 41 4 0 26 Mar 2018
Preconditioned Stochastic Gradient Descent Xi-Lin Li 42 95 0 14 Dec 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 95 1,011 0 19 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014