Trust-Region Algorithms for Training Responses: Machine Learning Methods
Using Indefinite Hessian Approximations

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Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations

1 July 2018

Jennifer B. Erway

Roummel F. Marcia

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Papers citing "Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations"

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Title
Two trust region type algorithms for solving nonconvex-strongly concave minimax problems Tongliang Yao Zi Xu 81 2 0 15 Feb 2024
Gradient Descent and the Power Method: Exploiting their connection to find the leftmost eigen-pair and escape saddle points R. Tappenden Martin Takáč 49 0 0 02 Nov 2022
Using a New Nonlinear Gradient Method for Solving Large Scale Convex Optimization Problems with an Application on Arabic Medical Text Jaafar Hammoud A. Eisa N. Dobrenko N. Gusarova 15 1 0 08 Jun 2021
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm Majid Jahani M. Nazari R. Tappenden A. Berahas Martin Takávc ODL 55 10 0 06 Jun 2020
Deep Neural Network Learning with Second-Order Optimizers -- a Practical Study with a Stochastic Quasi-Gauss-Newton Method C. Thiele Mauricio Araya-Polo D. Hohl ODL 39 2 0 06 Apr 2020
Scaling Up Quasi-Newton Algorithms: Communication Efficient Distributed SR1 Majid Jahani M. Nazari S. Rusakov A. Berahas Martin Takávc 87 14 0 30 May 2019
Deep Reinforcement Learning via L-BFGS Optimization Chris Paxton Roummel F. Marcia OffRL 58 0 0 06 Nov 2018