2 citations · 2 across the 2 of their papers we have counts for
6 papers
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples
Xin Ding, Qiong Zhang, William J. Welch
Modern methods often formulate the counting of cells from microscopic images as a regression problem and more or less rely on expensive, manually annotated training images (e.g., d…
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
Xin Ding, Z. Jane Wang, William J. Welch
Filtering out unrealistic images from trained generative adversarial networks (GANs) has attracted considerable attention recently. Two density ratio based subsampling methods---Di…
Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile
Hao Chen, William J. Welch
A computer code can simulate a system's propagation of variation from random inputs to output measures of quality. Our aim here is to estimate a critical output tail probability or…
Adaptive Partitioning Design and Analysis for Emulation of a Complex Computer Code
Sonja Surjanovic, William J. Welch
Computer models are used as replacements for physical experiments in a large variety of applications. Nevertheless, direct use of the computer model for the ultimate scientific obj…
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…
Regression Phalanxes
Hongyang Zhang, William J. Welch, Ruben H. Zamar
Tomal et al. (2015) introduced the notion of "phalanxes" in the context of rare-class detection in two-class classification problems. A phalanx is a subset of features that work we…