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Jun S. Liu

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Multi-Response Heteroscedastic Gaussian Process Models and Their Inference

Aug 30, 2023
Taehee Lee, Jun S. Liu

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Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks

Oct 13, 2020
Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu

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Minimax Nonparametric Two-sample Test

Nov 08, 2019
Xin Xing, Zuofeng Shang, Pang Du, Ping Ma, Wenxuan Zhong, Jun S. Liu

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The Wang-Landau Algorithm as Stochastic Optimization and its Acceleration

Jul 27, 2019
Chenguang Dai, Jun S. Liu

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Generative Parameter Sampler For Scalable Uncertainty Quantification

Jun 02, 2019
Minsuk Shin, Young Lee, Jun S. Liu

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Signed Support Recovery for Single Index Models in High-Dimensions

Jun 23, 2016
Matey Neykov, Qian Lin, Jun S. Liu

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L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs

Jun 23, 2016
Matey Neykov, Jun S. Liu, Tianxi Cai

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A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations

Jun 23, 2016
Matey Neykov, Yang Ning, Jun S. Liu, Han Liu

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