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An Adaptive Empirical Bayesian Method for Sparse Deep Learning


Oct 23, 2019
Wei Deng, Xiao Zhang, Faming Liang, Guang Lin

* Accepted by NeurIPS 2019 

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Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data


Jul 23, 2019
Sheng Zhang, Guang Lin


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Bayesian inverse regression for supervised dimension reduction with small datasets


Jun 19, 2019
Xin Cai, Guang Lin, Jinglai Li


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CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification


Aug 31, 2018
Sangpil Kim, Nick Winovich, Guang Lin, Karthik Ramani


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