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Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling


Jan 26, 2022
Zhenyu Wei, Raymond K. W. Wong, Thomas C. M. Lee

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A Review of Adversarial Attack and Defense for Classification Methods


Nov 18, 2021
Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee

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* The American Statistician. 0 (2021) 1-44 

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Detecting Adversarial Examples with Bayesian Neural Network


May 28, 2021
Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee

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Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference


Nov 14, 2019
Suofei Wu, Jan Hannig, Thomas C. M. Lee

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Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting


Aug 04, 2019
Miles E. Lopes, Suofei Wu, Thomas C. M. Lee

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* 36 pages 

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Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding


Dec 09, 2018
Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus

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* 9 pages 

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Block-wise Partitioning for Extreme Multi-label Classification


Nov 04, 2018
Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee

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Matrix Completion with Noisy Entries and Outliers


Dec 27, 2017
Raymond K. W. Wong, Thomas C. M. Lee

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* 33 pages, 2 figures 

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