C. Eric

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion	2024	Xiaoqian Liu Xu Han C. Eric Boaz Nadler
+	Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	2024	Xinkai Zhou Qiang Heng C. Eric Hua Zhou
+	Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation	2024	Xinkai Zhou Qiang Heng C. Eric Hua Zhou
+ PDF Chat	Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization	2024	Duc-Toan Nguyen C. Eric
+	Robust Low-Rank Tensor Decomposition with the L <sub>2</sub> Criterion	2023	Qiang Heng C. Eric Yufeng Liu
+ PDF Chat	Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo	2023	Qiang Heng Hua Zhou C. Eric
+ PDF Chat	A convex-nonconvex strategy for grouped variable selection	2023	Xiaoqian Liu Aaron J. Molstad C. Eric
+	Robust Low-Rank Tensor Decomposition with the L<sub>2</sub> Criterion	2023	Qiang Heng C. Eric Yufeng Liu
+	Robust Low-rank Tensor Decomposition with the L<sub>2</sub> Criterion	2023	Qiang Heng C. Eric Yufeng Liu
+ PDF Chat	A Sharper Computational Tool for Regression	2022	Xiaoqian Liu C. Eric Kenneth Lange
+ PDF Chat	Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty	2022	Xiaoqian Liu C. Eric
+	A User-Friendly Computational Framework for Robust Structured Regression with the L<sub>2</sub> Criterion	2022	T. Jocelyn C. Eric
+	A Convex-Nonconvex Strategy for Grouped Variable Selection	2021	Xiaoqian Liu Aaron J. Molstad C. Eric
+	Sparse Single Index Models for Multivariate Responses	2021	Yuan Feng Luo Xiao C. Eric
+	Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries	2020	Jay S. Stanley C. Eric Gal Mishne
+	A User-Friendly Computational Framework for Robust Structured Regression Using the L$_2$ Criterion	2020	T. Jocelyn C. Eric
+	Sparse Single Index Models for Multivariate Responses	2020	Yuan Feng Luo Xiao C. Eric
+ PDF Chat	Baseline drift estimation for air quality data using quantile trend filtering	2020	Halley L. Brantley Joseph Guinness C. Eric
+	Provable Convex Co-clustering of Tensors.	2020	C. Eric Brian J. Gaines Will Wei Sun Hua Zhou Jian Yang
+	Sparse Single Index Models for Multivariate Responses	2020	Yuan Feng Luo Xiao C. Eric
+	Shape Constrained Tensor Decompositions	2019	Bethany Lusch C. Eric J. Nathan Kutz
+	Matrix completion from a computational statistics perspective	2019	C. Eric Tianxi Li
+	Baseline Drift Estimation for Air Quality Data Using Quantile Trend Filtering	2019	Halley L. Brantley Joseph Guinness C. Eric
+ PDF Chat	Recovering Trees with Convex Clustering	2019	C. Eric Stefan Steinerberger
+ PDF Chat	Tensor canonical correlation analysis	2019	Eun Jeong Min C. Eric Hua Zhou
+	A majorization–minimization algorithm for split feasibility problems	2018	Jason Xu C. Eric Meng Yang Kenneth Lange
+	Recovering Trees with Convex Clustering	2018	C. Eric Stefan Steinerberger
+ PDF Chat	Going Off the Grid: Iterative Model Selection for Biclustered Matrix Completion	2018	C. Eric Liuyi Hu Arvind K. Saibaba Arvind Rao
+	Proximal Methods for Penalized Regression	2018	C. Eric
+	Provable Convex Co-clustering of Tensors	2018	C. Eric Brian R. Gaines Will Wei Sun Hua Zhou Jian Yang
+	FastLORS: Joint Modeling for eQTL Mapping in R	2018	Jacob Rhyne C. Eric Jung Ying Tzeng X. Jessie Jeng
+	Co-manifold learning with missing data	2018	Gal Mishne C. Eric Ronald R. Coifman
+	Generalized Linear Model Regression under Distance-to-set Penalties	2017	Jason Xu C. Eric Kenneth Lange
+ PDF Chat	Convex biclustering: Convex Biclustering	2017	C. Eric Genevera I. Allen Richard G. Baraniuk
+	Generalized Linear Model Regression under Distance-to-set Penalties	2017	Jason Xu C. Eric Kenneth Lange
+ PDF Chat	Convex Biclustering	2016	C. Eric Genevera I. Allen Richard G. Baraniuk
+	Estimating a common period for a set of irregularly sampled functions with applications to periodic variable star data	2016	James P. Long C. Eric Richard G. Baraniuk
+	Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries	2016	Bethany Lusch C. Eric J. Nathan Kutz
+	An MM Algorithm for Split Feasibility Problems	2016	Jason Xu C. Eric Meng Yang Kenneth Lange
+ PDF Chat	ADMM Algorithmic Regularization Paths for Sparse Statistical Machine Learning	2016	Yue Hu C. Eric Genevera I. Allen
+ PDF Chat	<i>k</i>-POD: A Method for <i>k</i>-Means Clustering of Missing Data	2015	T. Jocelyn C. Eric Richard G. Baraniuk
+ PDF Chat	Convex Clustering: An Attractive Alternative to Hierarchical Clustering	2015	Gary K. Chen C. Eric John Michael O. Rañola Kenneth Lange
+	ADMM Algorithmic Regularization Paths for Sparse Statistical Machine Learning	2015	Yue Hu C. Eric Genevera I. Allen
+	k-POD: A Method for Clustering Partially Observed Data	2014	T. Jocelyn C. Eric Richard G. Baraniuk
+ PDF Chat	Splitting Methods for Convex Clustering	2014	C. Eric Kenneth Lange
+ PDF Chat	Stable estimation of a covariance matrix guided by nuclear norm penalties	2014	C. Eric Kenneth Lange
+	Rejoinder	2014	Kenneth Lange C. Eric Hua Zhou
+ PDF Chat	A Brief Survey of Modern Optimization for Statisticians	2014	Kenneth Lange C. Eric Hua Zhou
+	Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion	2014	C. Eric David W. Scott
+ PDF Chat	A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization	2014	C. Eric Kenneth Lange
+	Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion	2014	C. Eric David W. Scott
+	Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion	2014	C. Eric David W. Scott
+ PDF Chat	Distance majorization and its applications	2013	C. Eric Hua Zhou Kenneth Lange
+ PDF Chat	Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion	2012	C. Eric David W. Scott
+	Techniques for Solving Sudoku Puzzles	2012	C. Eric Kenneth Lange
+ PDF Chat	A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization	2012	C. Eric Kenneth Lange
+ PDF Chat	On Tensors, Sparsity, and Nonnegative Factorizations	2012	C. Eric Tamara G. Kolda
+	Parametric classification and variable selection by the minimum integrated squared error criterion	2012	C. Eric
+	Nonnegative Tensor Factorizations for Sparse Count Data.	2011	Tamara G. Kolda C. Eric
+	Making tensor factorizations robust to non-gaussian noise.	2011	C. Eric Tamara G. Kolda

Common Coauthors

Coauthor	Papers Together
Kenneth Lange	14
Hua Zhou	9
Qiang Heng	6
Xiaoqian Liu	5
Richard G. Baraniuk	5
Genevera I. Allen	4
T. Jocelyn	4
David W. Scott	4
Jason Xu	4
Tamara G. Kolda	3
Luo Xiao	3
Yuan Feng	3
Meng Yang	2
Jian Yang	2
Aaron J. Molstad	2
Xinkai Zhou	2
Joseph Guinness	2
Bethany Lusch	2
Stefan Steinerberger	2
Will Wei Sun	2
Halley L. Brantley	2
Gal Mishne	2
J. Nathan Kutz	2
Yue Hu	1
Arvind Rao	1
James P. Long	1
Liuyi Hu	1
Boaz Nadler	1
Ronald R. Coifman	1
X. Jessie Jeng	1
Brian J. Gaines	1
Tianxi Li	1
Jung Ying Tzeng	1
Gary K. Chen	1
Eun Jeong Min	1
Jay S. Stanley	1
Yufeng Liu	1
Yufeng Liu	1
Yufeng Liu	1
Duc-Toan Nguyen	1
John Michael O. Rañola	1
Brian R. Gaines	1
Xu Han	1
Jacob Rhyne	1
Yue Hu	1
Arvind K. Saibaba	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	19
+	Optimization Transfer Using Surrogate Objective Functions	2000	Kenneth Lange David R. Hunter Ilsoon Yang	12
+	Signal Recovery by Proximal Forward-Backward Splitting	2005	Patrick L. Combettes Valérie R. Wajs	10
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	10
+	Proximal Algorithms in Statistics and Machine Learning	2015	Nicholas G. Polson James G. Scott Brandon T. Willard	9
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	8
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	8
+ PDF Chat	Splitting Methods for Convex Clustering	2014	C. Eric Kenneth Lange	8
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	8
+ PDF Chat	Numerical Analysis for Statisticians	2010	Kenneth Lange	8
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices.	2010	Rahul Mazumder Trevor Hastie Robert Tibshirani	7
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	7
+	Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition	1970	J. Douglas Carroll Jih-Jie Chang	7
+	A finite algorithm for finding the projection of a point onto the canonical simplex of ? n	1986	Christian Michelot	7
+ PDF Chat	Proximal Splitting Methods in Signal Processing	2011	Patrick L. Combettes Jean‐Christophe Pesquet	6
+ PDF Chat	EM algorithms without missing data	1997	Mark P. Becker Ilsoon Yang Kenneth Lange	6
+ PDF Chat	Pathwise coordinate optimization	2007	Jerome H. Friedman Trevor Hastie Holger Höfling Robert Tibshirani	6
+ PDF Chat	Sufficient conditions for the convergence of monotonic mathematicalprogramming algorithms	1976	R. R. Meyer	6
+	Parametric Statistical Modeling by Minimum Integrated Square Error	2001	David W. Scott	6
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	6
+ PDF Chat	Clusterpath An Algorithm for Clustering using Convex Fusion Penalties	2011	Toby Dylan Hocking Armand Joulin Francis Bach Jean‐Philippe Vert	6
+	Convex Analysis and Nonlinear Optimization	2000	Jonathan M. Borwein Adrian S. Lewis	5
+ PDF Chat	Convex Biclustering	2016	C. Eric Genevera I. Allen Richard G. Baraniuk	5
+	Biclustering via Sparse Singular Value Decomposition	2010	Mihee Lee Haipeng Shen Jianhua Z. Huang J. S. Marron	5
+ PDF Chat	Coordinate descent algorithms for lasso penalized regression	2008	Tong Tong Wu Kenneth Lange	5
+	A Tutorial on MM Algorithms	2004	David R. Hunter Kenneth Lange	5
+ PDF Chat	Regularized Matrix Regression	2013	Hua Zhou Lexin Li	5
+	Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis	1970	Richard A. Harshman	5
+ PDF Chat	Applications of Variational Analysis to a Generalized Fermat-Torricelli Problem	2010	Boris S. Mordukhovich Nguyen Mau Nam	5
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices	2010	MazumderRahul HastieTrevor TibshiraniRobert	5
+ PDF Chat	Distance majorization and its applications	2013	C. Eric Hua Zhou Kenneth Lange	5
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	5
+	Fundamentals of Convex Analysis	2001	Jean‐Baptiste Hiriart‐Urruty Claude Lemaréchal	4
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2011	Heinz H. Bauschke Patrick L. Combettes	4
+	Monotonicity of quadratic-approximation algorithms	1988	Dankmar Böhning Bruce G. Lindsay	4
+ PDF Chat	The solution path of the generalized lasso	2011	Ryan J. Tibshirani Jonathan Taylor	4
+	An Algorithm for Restricted Least Squares Regression	1983	Richard L. Dykstra	4
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	4
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	4
+ PDF Chat	The "Automatic" Robustness of Minimum Distance Functionals	1988	David L. Donoho Richard C. Liu	4
+ PDF Chat	Sur l'approximation, par éléments finis d'ordre un, et la résolution, par pénalisation-dualité d'une classe de problèmes de Dirichlet non linéaires	1975	Roland Glowinski A. Marroco	4
+ PDF Chat	Solving a Generalized Heron Problem by Means of Convex Analysis	2012	Boris S. Mordukhovich Nguyen Mau Nam Juan Salinas	4
+	Matrix Completion on Graphs	2014	Vassilis Kalofolias Xavier Bresson Michael M. Bronstein Pierre Vandergheynst	4
+ PDF Chat	Objective Criteria for the Evaluation of Clustering Methods	1971	Telmo Menezes Camille Roth	4
+ PDF Chat	Robust and efficient estimation by minimising a density power divergence	1998	Ayanendranath Basu Ian R. Harris Nils Lid Hjort M. C. Jones	4
+ PDF Chat	Efficient MATLAB Computations with Sparse and Factored Tensors	2007	Brett W. Bader Tamara G. Kolda	4
+ PDF Chat	Tensor Regression with Applications in Neuroimaging Data Analysis	2013	Hua Zhou Lexin Li Hongtu Zhu	4
+ PDF Chat	Nearly unbiased variable selection under minimax concave penalty	2010	Cun‐Hui Zhang	4
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	3
+	The Isotonic Regression Problem and its Dual	1972	Richard E. Barlow H. D. Brunk	3