10 citations · 10 across the 1 of their papers we have counts for
3 papers
cs.LG2022★ 10 cited
Optimizing the optimizer for data driven deep neural networks and physics informed neural networks
John Taylor, Wenyi Wang, Biswajit Bala +1
We investigate the role of the optimizer in determining the quality of the model fit for neural networks with a small to medium number of parameters. We study the performance of Ad…
cs.LG2018
A Distribution Similarity Based Regularizer for Learning Bayesian Networks
Weirui Kong, Wenyi Wang
Probabilistic graphical models compactly represent joint distributions by decomposing them into factors over subsets of random variables. In Bayesian networks, the factors are cond…
cs.LG2018
Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter
Wenyi Wang, William J. Welch
We propose an algorithm for a family of optimization problems where the objective can be decomposed as a sum of functions with monotonicity properties. The motivating problem is op…