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Jun S. Liu

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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* 56 pages

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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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* 4 pages, 1 figure

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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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* 38 pages, 7 figures; 1 table; data set analysis added; typos corrected

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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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* 36 pages; 6 figures; typos corrected; clearer notation introduced

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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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* 67 pages, 2 tables, 1 figure

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Interpretable Selection and Visualization of Features and Interactions Using Bayesian Forests

Feb 07, 2016
Viktoriya Krakovna, Jiong Du, Jun S. Liu

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* R package: github.com/vkrakovna/sbfc

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