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Convex Biclustering

Biometrics, 2017-03, Vol.73 (1), p.10-19

2017

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k-POD: A Method for k-Means Clustering of Missing Data

The American statistician, 2016-01, Vol.70 (1), p.91-99

2016

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Non-invasive characterization of complex coronary lesions

Scientific reports, 2021-04, Vol.11 (1), p.8145-8145, Article 8145

2021

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Convex clustering: an attractive alternative to hierarchical clustering

PLoS computational biology, 2015-05, Vol.11 (5), p.e1004228-e1004228

2015

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Splitting Methods for Convex Clustering

Journal of computational and graphical statistics, 2015-10, Vol.24 (4), p.994-1013

2015

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Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion

Journal of computational and graphical statistics, 2014-03, Vol.23 (1), p.111-128

2014

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A Brief Survey of Modern Optimization for Statisticians

International statistical review, 2014-04, Vol.82 (1), p.46-70

2014

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Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty

Pattern recognition letters, 2022-04, Vol.156, p.60-66

2022

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Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo

Journal of computational and graphical statistics, 2023-07, Vol.32 (3), p.938-949

2023

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On Tensors, Sparsity, and Nonnegative Factorizations

SIAM journal on matrix analysis and applications, 2012-01, Vol.33 (4), p.1272-1299

2012

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Robust Low-rank Tensor Decomposition with the L 2 Criterion

Technometrics, 2023-10, Vol.65 (4), p.537-552

2023

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Robust Low-Rank Tensor Decomposition with the L2 Criterion

Technometrics, 2023, Vol.65 (4), p.537-552

2023

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Discovering Geometry in Data Arrays

Computing in science & engineering, 2021-11, Vol.23 (6), p.42-51

Chi, Eric C.

2021

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A Sharper Computational Tool for L2E Regression

Technometrics, 2023-02, Vol.65 (1), p.117-126

2023

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Provable Convex Co-clustering of Tensors

Journal of machine learning research, 2020-01, Vol.21

2020

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COBRAC: a fast implementation of convex biclustering with compression

Bioinformatics (Oxford, England), 2021-10, Vol.37 (20), p.3667-3669

2021

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A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion

Journal of computational and graphical statistics, 2022, Vol.31 (4), p.1051-1062

2022

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A User-Friendly Computational Framework for Robust Structured Regression with the L 2 Criterion

Journal of computational and graphical statistics, 2022-10, Vol.31 (4), p.1051-1062

2022

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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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Multi‐scale affinities with missing data: Estimation and applications

Statistical analysis and data mining, 2022-06, Vol.15 (3), p.303-313

2022

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Distance majorization and its applications

Mathematical programming, 2014-08, Vol.146 (1-2), p.409-436

2014

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Sparse Single Index Models for Multivariate Responses

Journal of computational and graphical statistics, 2021, Vol.30 (1), p.115-124

2021

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Matrix completion from a computational statistics perspective

Wiley interdisciplinary reviews. Computational statistics, 2019-09, Vol.11 (5), p.e1469-n/a

2019

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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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Convex Biclustering

k-POD: A Method for k-Means Clustering of Missing Data

Non-invasive characterization of complex coronary lesions

Convex clustering: an attractive alternative to hierarchical clustering

Splitting Methods for Convex Clustering

Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion

A Brief Survey of Modern Optimization for Statisticians

Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty

Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo

On Tensors, Sparsity, and Nonnegative Factorizations

Robust Low-rank Tensor Decomposition with the L 2 Criterion

Robust Low-Rank Tensor Decomposition with the L2 Criterion

Discovering Geometry in Data Arrays

A Sharper Computational Tool for L2E Regression

Provable Convex Co-clustering of Tensors

COBRAC: a fast implementation of convex biclustering with compression

A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion

A User-Friendly Computational Framework for Robust Structured Regression with the L 2 Criterion

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

Multi‐scale affinities with missing data: Estimation and applications

Distance majorization and its applications

Sparse Single Index Models for Multivariate Responses

Matrix completion from a computational statistics perspective

A majorization–minimization algorithm for split feasibility problems

Genotype imputation via matrix completion

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