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A majorization–minimization algorithm for split feasibility problems

Computational optimization and applications, 2018-12, Vol.71 (3), p.795-828

2018

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Genotype imputation via matrix completion

Genome research, 2013-03, Vol.23 (3), p.509-518

2013

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Stable estimation of a covariance matrix guided by nuclear norm penalties

Computational statistics & data analysis, 2014-12, Vol.80, p.117-128

2014

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Going Off the Grid: Iterative Model Selection for Biclustered Matrix Completion

Journal of computational and graphical statistics, 2019-01, Vol.28 (1), p.36-47

2019

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Tensor canonical correlation analysis

Stat (International Statistical Institute), 2019, Vol.8 (1), p.n/a

2019

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Imaging genetics via sparse canonical correlation analysis

2013 IEEE 10th International Symposium on Biomedical Imaging, 2013, Vol.2013, p.740-743

2013

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Proton auroral intensifications and injections at synchronous altitude

Geophysical research letters, 2006-03, Vol.33 (6), p.L06104-n/a

2006

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A Sharper Computational Tool for Regression

Technometrics, 2023-01, Vol.65 (1), p.117-126

2023

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A Sharper Computational Tool for L 2 E Regression

Technometrics, 2023, Vol.65 (1), p.117

2023

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Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation

The American statistician, 2024-02, p.1-12

2024

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Recovering Trees with Convex Clustering

SIAM journal on mathematics of data science, 2019-01, Vol.1 (3), p.383-407

2019

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BASELINE DRIFT ESTIMATION FOR AIR QUALITY DATA USING QUANTILE TREND FILTERING

The annals of applied statistics, 2020-06, Vol.14 (2), p.585-604

2020

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A convex-nonconvex strategy for grouped variable selection

Electronic journal of statistics, 2023-01, Vol.17 (2)

2023

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An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.4432-4435

2021

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Shape Constrained Tensor Decompositions

2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019, p.287-297

2019

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ESTIMATING A COMMON PERIOD FOR A SET OF IRREGULARLY SAMPLED FUNCTIONS WITH APPLICATIONS TO PERIODIC VARIABLE STAR DATA

The annals of applied statistics, 2016-03, Vol.10 (1), p.165-197

2016

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A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization

The American mathematical monthly, 2014-02, Vol.121 (2), p.95-108

2014

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Convex Clustering: An Attractive Alternative to Hierarchical Clustering: e1004228

PLoS computational biology, 2015-05, Vol.11 (5)

2015

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Rejoinder

International statistical review, 2014-04, Vol.82 (1), p.81-89

2014

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Rejoinder

International statistical review, 2014-04, Vol.82 (1), p.81-89

2014

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Rejoinder

International statistical review, 2014-04, Vol.82 (1), p.81-89

2014

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Rejoinder

International statistical review, 2014-04, Vol.82 (1), p.81-89

2014

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FastLORS: Joint modelling for expression quantitative trait loci mapping in R

Stat (International Statistical Institute), 2020, Vol.9 (1), p.n/a

2020

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Parametric classification and variable selection by the minimum integrated squared error criterion

Chi, Eric C

2011

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ADMM Algorithmic Regularization Paths for Sparse Statistical Machine Learning

Splitting Methods in Communication, Imaging, Science, and Engineering, 2017, p.433-459

2017

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A majorization–minimization algorithm for split feasibility problems

Genotype imputation via matrix completion

Stable estimation of a covariance matrix guided by nuclear norm penalties

Going Off the Grid: Iterative Model Selection for Biclustered Matrix Completion

Tensor canonical correlation analysis

Imaging genetics via sparse canonical correlation analysis

Proton auroral intensifications and injections at synchronous altitude

A Sharper Computational Tool for Regression

A Sharper Computational Tool for L 2 E Regression

Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation

Recovering Trees with Convex Clustering

BASELINE DRIFT ESTIMATION FOR AIR QUALITY DATA USING QUANTILE TREND FILTERING

A convex-nonconvex strategy for grouped variable selection

An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions

Shape Constrained Tensor Decompositions

ESTIMATING A COMMON PERIOD FOR A SET OF IRREGULARLY SAMPLED FUNCTIONS WITH APPLICATIONS TO PERIODIC VARIABLE STAR DATA

A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization

Convex Clustering: An Attractive Alternative to Hierarchical Clustering: e1004228

Rejoinder

Rejoinder

Rejoinder

Rejoinder

FastLORS: Joint modelling for expression quantitative trait loci mapping in R

Parametric classification and variable selection by the minimum integrated squared error criterion

ADMM Algorithmic Regularization Paths for Sparse Statistical Machine Learning

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