research
∙
01/23/2023
Efficient Training Under Limited Resources
Training time budget and size of the dataset are among the factors affec...
share
research
∙
01/17/2023
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm
Deep neural networks are getting larger. Their implementation on edge an...
research
∙
06/14/2022
A Stochastic Proximal Method for Nonsmooth Regularized Finite Sum Optimization
We consider the problem of training a deep neural network with nonsmooth...
research
∙
03/14/2021
Use of static surrogates in hyperparameter optimization
Optimizing the hyperparameters and architecture of a neural network is a...
research
∙
06/06/2020
Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system
The Mars Curiosity rover is frequently sending back engineering and scie...
research
∙
07/03/2019
