research
∙
01/26/2021
Large-scale Optimization with Linear Equality Constraints using Reduced Compact Representation
For optimization problems with sparse linear equality constraints, we ob...
share
research
∙
09/04/2019
Quasi-Newton Optimization Methods For Deep Learning Applications
Deep learning algorithms often require solving a highly non-linear and n...
research
∙
11/06/2018
Quasi-Newton Optimization in Deep Q-Learning for Playing ATARI Games
Reinforcement Learning (RL) algorithms allow artificial agents to improv...
research
∙
07/01/2018
Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations
Machine learning (ML) problems are often posed as highly nonlinear and n...
research
∙
06/26/2013