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Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression


May 01, 2021
Xin Ding, Yongwei Wang, Zuheng Xu, Z. Jane Wang, William J. Welch


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Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks


Mar 20, 2021
Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch


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CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation


Nov 15, 2020
Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang


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Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples


Oct 29, 2020
Xin Ding, Qiong Zhang, William J. Welch


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Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss


Nov 01, 2019
Xin Ding, Z. Jane Wang, William J. Welch


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Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile


Aug 14, 2019
Hao Chen, William J. Welch


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Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter


Feb 16, 2018
Wenyi Wang, William J. Welch

* Citation style errors fixed 

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Regression Phalanxes


Jul 03, 2017
Hongyang Zhang, William J. Welch, Ruben H. Zamar


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Ensembling classification models based on phalanxes of variables with applications in drug discovery


May 15, 2015
Jabed H. Tomal, William J. Welch, Ruben H. Zamar

* Annals of Applied Statistics 2015, Vol. 9, No. 1, 69-93 
* Published at http://dx.doi.org/10.1214/14-AOAS778 in the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

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