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Genevera I. Allen

Network Clustering for Latent State and Changepoint Detection


Nov 01, 2021
Madeline Navarro, Genevera I. Allen, Michael Weylandt

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Gaussian Graphical Model Selection for Huge Data via Minipatch Learning


Oct 22, 2021
Tianyi Yao, Minjie Wang, Genevera I. Allen

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Fast and Interpretable Consensus Clustering via Minipatch Learning


Oct 18, 2021
Luqin Gan, Genevera I. Allen

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Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity


Apr 13, 2021
Minjie Wang, Genevera I. Allen

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Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data


Dec 12, 2020
Kelly Geyer, Frederick Campbell, Andersen Chang, John Magnotti, Michael Beauchamp, Genevera I. Allen

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Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering


Dec 08, 2020
Michael Weylandt, T. Mitchell Roddenberry, Genevera I. Allen

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MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling


Nov 14, 2020
Mohammad Taha Toghani, Genevera I. Allen

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Feature Selection for Huge Data via Minipatch Learning


Oct 16, 2020
Tianyi Yao, Genevera I. Allen

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Supervised Convex Clustering


May 25, 2020
Minjie Wang, Tianyi Yao, Genevera I. Allen

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Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data


Dec 11, 2019
Minjie Wang, Genevera I. Allen

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Clustered Gaussian Graphical Model via Symmetric Convex Clustering


May 30, 2019
Tianyi Yao, Genevera I. Allen

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* To appear in IEEE DSW 2019 
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Feature Selection for Data Integration with Mixed Multi-view Data


Mar 27, 2019
Yulia Baker, Tiffany M. Tang, Genevera I. Allen

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Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization


Jan 10, 2019
Michael Weylandt, John Nagorski, Genevera I. Allen

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A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution


Dec 27, 2016
David I. Inouye, Eunho Yang, Genevera I. Allen, Pradeep Ravikumar

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Convex Biclustering


Apr 15, 2016
Eric C. Chi, Genevera I. Allen, Richard G. Baraniuk

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* Biometrics 73 (1):10-19, 2017 
 * 29 pages, 3 figures 
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On Graphical Models via Univariate Exponential Family Distributions


Sep 05, 2015
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

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* Journal of Machine Learning Research 
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A General Framework for Mixed Graphical Models


Nov 02, 2014
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Yulia Baker, Ying-Wooi Wan, Zhandong Liu

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* 40 pages, 9 figures 
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Sparse and Functional Principal Components Analysis


Sep 11, 2013
Genevera I. Allen

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Regularized Partial Least Squares with an Application to NMR Spectroscopy


Apr 17, 2012
Genevera I. Allen, Christine Peterson, Marina Vannucci, Mirjana Maletic-Savatic

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A Generalized Least Squares Matrix Decomposition


Mar 13, 2012
Genevera I. Allen, Logan Grosenick, Jonathan Taylor

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Regularized Tensor Factorizations and Higher-Order Principal Components Analysis


Feb 11, 2012
Genevera I. Allen

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Transposable regularized covariance models with an application to missing data imputation


Nov 09, 2010
Genevera I. Allen, Robert Tibshirani

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* Annals of Applied Statistics 2010, Vol. 4, No. 2, 764-790 
 * Published in at http://dx.doi.org/10.1214/09-AOAS314 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org) 
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Inference with Transposable Data: Modeling the Effects of Row and Column Correlations


Apr 01, 2010
Genevera I. Allen, Robert Tibshirani

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KNIFE: Kernel Iterative Feature Extraction


Jun 24, 2009
Genevera I. Allen

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