Publications by authors named "Eric C Chi"

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Transfer Learning for Survival-based Clustering of Predictors with an Application to Mutation Annotation.
Xiaoqian Liu, Hao Yan, Haoming Shi, Emilie Montellier, Eric C Chi

bioRxiv· October 2025

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A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion.
Xiaoqian Liu, Xu Han, Eric C Chi, Boaz Nadler

J Comput Graph Stat· January 2025

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Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation.
Xinkai Zhou, Qiang Heng, Eric C Chi, Hua Zhou

Am Stat· February 2024

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Robust Low-rank Tensor Decomposition with the Criterion.
Qiang Heng, Eric C Chi, Yufeng Liu

Technometrics· May 2023

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Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo.
Qiang Heng, Hua Zhou, Eric C Chi

J Comput Graph Stat· March 2023

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A Sharper Computational Tool for LE Regression.
Xiaoqian Liu, Eric C Chi, Kenneth Lange

Technometrics· October 2022

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Multi-scale affinities with missing data: Estimation and applications.
Min Zhang, Gal Mishne, Eric C Chi

Stat Anal Data Min· June 2022

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A User-Friendly Computational Framework for Robust Structured Regression with the L Criterion.
Jocelyn T Chi, Eric C Chi

J Comput Graph Stat· March 2022

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An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions.
Xiaoqian Liu, Madhurima Vardhan, Qinrou Wen, Arpita Das, Amanda Randles, Eric C Chi

Annu Int Conf IEEE Eng Med Biol Soc· November 2021

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COBRAC: a fast implementation of convex biclustering with compression.
Haidong Yi, Le Huang, Gal Mishne, Eric C Chi

Bioinformatics· October 2021

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Discovering Geometry in Data Arrays.
Eric C Chi

Comput Sci Eng· October 2021

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Non-invasive characterization of complex coronary lesions.
Madhurima Vardhan, John Gounley, S James Chen, Eric C Chi, Andrew M Kahn

Sci Rep· April 2021

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Multiway Graph Signal Processing on Tensors: Integrative analysis of irregular geometries.
Jay S Stanley, Eric C Chi, Gal Mishne

IEEE Signal Process Mag· November 2020

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Sparse Single Index Models for Multivariate Responses.
Yuan Feng, Luo Xiao, Eric C Chi

J Comput Graph Stat· July 2020

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Tensor canonical correlation analysis.
Eun Jeong Min, Eric C Chi, Hua Zhou

Stat· January 2020

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Provable Convex Co-clustering of Tensors.
Eric C Chi, Brian R Gaines, Will Wei Sun, Hua Zhou, Jian Yang

J Mach Learn Res· January 2020

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Convex biclustering.
Eric C Chi, Genevera I Allen, Richard G Baraniuk

Biometrics· March 2017

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Splitting Methods for Convex Clustering.
Eric C Chi, Kenneth Lange

J Comput Graph Stat· December 2015

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Convex clustering: an attractive alternative to hierarchical clustering.
Gary K Chen, Eric C Chi, John Michael O Ranola, Kenneth Lange

PLoS Comput Biol· May 2015

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Stable Estimation of a Covariance Matrix Guided by Nuclear Norm Penalties.
Eric C Chi, Kenneth Lange

Comput Stat Data Anal· December 2014

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Distance majorization and its applications.
Eric C Chi, Hua Zhou, Kenneth Lange

Math Program· August 2014

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A Brief Survey of Modern Optimization for Statisticians.
Kenneth Lange, Eric C Chi, Hua Zhou

Int Stat Rev· April 2014

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A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization.
Eric C Chi, Kenneth Lange

Am Math Mon· February 2014

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IMAGING GENETICS VIA SPARSE CANONICAL CORRELATION ANALYSIS.
Eric C Chi, Genevera I Allen, Hua Zhou, Omid Kohannim, Kenneth Lange

Proc IEEE Int Symp Biomed Imaging· December 2013

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Genotype imputation via matrix completion.
Eric C Chi, Hua Zhou, Gary K Chen, Diego Ortega Del Vecchyo, Kenneth Lange

Genome Res· March 2013

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