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Cluster Stability Selection


Jan 03, 2022
Gregory Faletto, Jacob Bien

* 77 pages, 6 figures 

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Controlling the False Split Rate in Tree-Based Aggregation


Aug 11, 2021
Simeng Shao, Jacob Bien, Adel Javanmard

* 47 pages 

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Tree-based Node Aggregation in Sparse Graphical Models


Jan 29, 2021
Ines Wilms, Jacob Bien


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Selective Inference for Hierarchical Clustering


Dec 05, 2020
Lucy L. Gao, Jacob Bien, Daniela Witten


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Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions


Aug 25, 2020
Sangwon Hyun, Mattias Rolf Cape, Francois Ribalet, Jacob Bien


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Testing for Association in Multi-View Network Data


Sep 25, 2019
Lucy L. Gao, Daniela Witten, Jacob Bien


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Are Clusterings of Multiple Data Views Independent?


Jan 12, 2019
Lucy L. Gao, Jacob Bien, Daniela Witten

* 20 pages, 4 figures, 1 table (main text); 15 pages, 9 figures (supplement) 

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High Dimensional Forecasting via Interpretable Vector Autoregression


Sep 08, 2018
William B. Nicholson, Ines Wilms, Jacob Bien, David S. Matteson


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Sparse Partially Linear Additive Models


Mar 27, 2018
Yin Lou, Jacob Bien, Rich Caruana, Johannes Gehrke

* Corrected typos 

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Rare Feature Selection in High Dimensions


Mar 18, 2018
Xiaohan Yan, Jacob Bien

* 32 pages, 9 figures 

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Graph-Guided Banding of the Covariance Matrix


Feb 15, 2018
Jacob Bien


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Estimating the error variance in a high-dimensional linear model


Jan 17, 2018
Guo Yu, Jacob Bien

* Added reference for section 3.2; Added R package information 

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Valid Inference Corrected for Outlier Removal


Nov 30, 2017
Shuxiao Chen, Jacob Bien

* 31 pages, 6 figures, 2 tables 

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Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations


Nov 29, 2017
Xiaohan Yan, Jacob Bien

* Statist. Sci. 32 (2017), no. 4, 531--560 
* 30 pages, 13 figures 

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Interpretable Vector AutoRegressions with Exogenous Time Series


Nov 09, 2017
Ines Wilms, Sumanta Basu, Jacob Bien, David S. Matteson

* Presented at NIPS 2017 Symposium on Interpretable Machine Learning 

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Learning Local Dependence In Ordered Data


May 08, 2017
Guo Yu, Jacob Bien

* Journal of Machine Learning (2017) 18(42) 1-60 

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Non-convex Global Minimization and False Discovery Rate Control for the TREX


Sep 20, 2016
Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian Müller


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The Simulator: An Engine to Streamline Simulations


Jun 30, 2016
Jacob Bien


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Convex Banding of the Covariance Matrix


May 23, 2014
Jacob Bien, Florentina Bunea, Luo Xiao


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A lasso for hierarchical interactions


Jun 19, 2013
Jacob Bien, Jonathan Taylor, Robert Tibshirani

* Annals of Statistics 2013, Vol. 41, No. 3, 1111-1141 
* Published in at http://dx.doi.org/10.1214/13-AOS1096 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

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Strong rules for discarding predictors in lasso-type problems


Nov 24, 2010
Robert Tibshirani, Jacob Bien, Jerome Friedman, Trevor Hastie, Noah Simon, Jonathan Taylor, Ryan J. Tibshirani

* 5 

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CUR from a Sparse Optimization Viewpoint


Nov 01, 2010
Jacob Bien, Ya Xu, Michael W. Mahoney

* 9 pages; in NIPS 2010 

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Classification by Set Cover: The Prototype Vector Machine


Aug 17, 2009
Jacob Bien, Robert Tibshirani

* 24 pages, 11 figures 

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