activity
20182022
most citedOptimizing the optimizer for data driven deep neural networks and physics informed neural networks

10 citations · 12 across the 4 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

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★ 2 cited

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…