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Stable discovery of interpretable subgroups via calibration in causal studies


Sep 29, 2020
Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu

* Raaz Dwivedi and Yan Shuo Tan are joint first authors and contributed equally to this work. 52 pages, 8 Figures, 9 Tables. To appear in International Statistical Review, 2020 

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Curating a COVID-19 data repository and forecasting county-level death counts in the United States


May 16, 2020
Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Bin Yu

* 25 pages, 8 Figures, Authors ordered alphabetically. All authors contributed significantly to this work. All collected data, modeling code, forecasts, and visualizations are updated daily and available at \url{https://github.com/Yu-Group/covid19-severity-prediction

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Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval


Oct 28, 2019
Yan Shuo Tan, Roman Vershynin


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Subspace Clustering using Ensembles of $K$-Subspaces


Sep 23, 2018
John Lipor, David Hong, Yan Shuo Tan, Laura Balzano


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Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees


Jan 13, 2018
Yan Shuo Tan, Roman Vershynin

* Revised after comments from referees 

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Sparse Phase Retrieval via Sparse PCA Despite Model Misspecification: A Simplified and Extended Analysis


Dec 13, 2017
Yan Shuo Tan

* Edited formatting for abstract 

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Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods


Apr 04, 2017
Yan Shuo Tan, Roman Vershynin


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