research
∙
09/11/2021
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
We present a novel adaptive optimization algorithm for large-scale machi...
share
research
∙
07/03/2020
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
Data-driven models for predicting dynamic responses of linear and nonlin...
research
∙
06/06/2020
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
This work presents a new algorithm for empirical risk minimization. The ...
research
∙
05/30/2019
Scaling Up Quasi-Newton Algorithms: Communication Efficient Distributed SR1
In this paper, we present a scalable distributed implementation of the s...
research
∙
05/30/2019
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework
Although reinforcement learning (RL) can provide reliable solutions in m...
research
∙
01/28/2019
Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample
We present two sampled quasi-Newton methods for deep learning: sampled L...
research
∙
10/26/2018