Eric C. Chi

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Kenneth LangeProfessor of Computational Medicine, Human Genetics, and Statistics, UCLAVerified email at ucla.edu
Hua ZhouDepartments of Biostatistics and Computational Medicine, UCLAVerified email at ucla.edu
Tamara G. KoldaMathSci.ai (independent consulting)Verified email at mathsci.ai
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Genevera I. AllenAssociate Professor, Electrical and Computer Engineering, Statistics, and Computer Science, RiceVerified email at rice.edu
Gary K ChenFormer Assistant Professor, University of Southern CAVerified email at caseyandgary.com
Jocelyn T. ChiMath Department, UCLAVerified email at math.ucla.edu
Jean WalrandProfessor of EECSVerified email at eecs.berkeley.edu
Jason XuAssistant Professor of Statistical Science, Duke UniversityVerified email at duke.edu
Stefan SteinerbergerUniversity of Washington, SeattleVerified email at uw.edu
Diego Ortega-Del VecchyoJunior Group Leader, National Autonomous University of MexicoVerified email at liigh.unam.mx
Will Wei SunAssociate Professor, Daniels School of Business, Purdue UniversityVerified email at purdue.edu
Omid KohannimUCLAVerified email at ucla.edu
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCVerified email at usc.edu
David W ScottProfessor of Statistics, Rice UniversityVerified email at rice.edu
Geoff ReevesLos Alamos National Laboratory (LANL)Verified email at reevesresearch.org
J. Nathan KutzProfessor of Applied Mathematics & Electrical and Computer EngineeringVerified email at uw.edu
Arvind K. SaibabaAssociate Professor, North Carolina State UniversityVerified email at ncsu.edu
Antonis DimakisAthens University of Economics and BusinessVerified email at aueb.gr
Yue HuUniversity of RochesterVerified email at rochester.edu

Eric C. Chi

Associate Professor of Statistics, Rice University

Verified email at rice.edu - Homepage

Statistics Machine Learning Optimization Tensors


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On Tensors, Sparsity, and Nonnegative Factorizations EC Chi, TG Kolda SIAM Journal on Matrix Analysis and Applications 33 (4), 1272-1299, 2012	335	2012
Splitting methods for convex clustering EC Chi, K Lange Journal of Computational and Graphical Statistics 24 (4), 994-1013, 2015	302	2015
Convex biclustering EC Chi, GI Allen, RG Baraniuk Biometrics 73 (1), 10-19, 2017	134	2017
k-POD: A Method for k-Means Clustering of Missing Data JT Chi, EC Chi, RG Baraniuk The American Statistician 70 (1), 91-99, 2016	117	2016
Genotype imputation via matrix completion EC Chi, H Zhou, GK Chen, DO Del Vecchyo, KL Lange Genome research 23, 509-518, 2013	72	2013
Convex Clustering: An Attractive Alternative to Hierarchical Clustering GK Chen, E Chi, J Ranola, K Lange PLoS Computational Biology 11 (5), e1004228, 2015	71	2015
Provable convex co-clustering of tensors EC Chi, BR Gaines, WW Sun, H Zhou, J Yang The Journal of Machine Learning Research 21 (1), 8792-8849, 2020	59	2020
Distance Majorization and Its Applications EC Chi, H Zhou, K Lange Mathematical Programming 146 (1), 409-436, 2014	54	2014
Imaging Genetics via Sparse Canonical Correlation Analysis EC Chi, GI Allen, H Zhou, O Kohannim, K Lange, PM Thompson Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on, 740-743, 2013	54	2013
A Brief Survey of Modern Optimization for Statisticians K Lange, EC Chi, H Zhou International Statistical Review 82 (1), 46–70, 2014	44	2014
Matlab tensor toolbox version 3.0-dev BW Bader, TG Kolda Available online, Oct 155, 2017	40	2017
Generalized linear model regression under distance-to-set penalties J Xu, E Chi, K Lange Advances in neural information processing systems 30, 2017	38	2017
Recovering trees with convex clustering EC Chi, S Steinerberger SIAM Journal on Mathematics of Data Science 1 (3), 383-407, 2019	33	2019
Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion EC Chi, DW Scott Journal of Computational and Graphical Statistics 23 (1), 111-128, 2014	30	2014
Stable Estimation of a Covariance Matrix Guided by Nuclear Norm Penalties EC Chi, K Lange Computational Statistics and Data Analysis 80, 117-128, 2014	23	2014
ADMM algorithmic regularization paths for sparse statistical machine learning Y Hu, EC Chi, GI Allen Splitting methods in communication, imaging, science, and engineering, 433-459, 2017	19	2017
Non-invasive characterization of complex coronary lesions M Vardhan, J Gounley, SJ Chen, EC Chi, AM Kahn, JA Leopold, ... Scientific reports 11 (1), 8145, 2021	17	2021
Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty X Liu, EC Chi Pattern Recognition Letters 156, 60-66, 2022	16	2022
Multiway graph signal processing on tensors: Integrative analysis of irregular geometries JS Stanley, EC Chi, G Mishne IEEE signal processing magazine 37 (6), 160-173, 2020	16	2020
Matrix completion from a computational statistics perspective EC Chi, T Li Wiley Interdisciplinary Reviews: Computational Statistics, e1469, 2019	16	2019

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