Eric C. Chi

38 papers A* 1A 1B 1Journal 31Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression.
CoRR
Haoming Shi, Eric C. Chi, Hengrui Luo
2025 J jnl
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion.
J. Comput. Graph. Stat.
Xiaoqian Liu, Xu Han, Eric C. Chi, Boaz Nadler
2025 J jnl
Simulation-based machine learning for real-time assessment of side-branch hemodynamics in coronary bifurcation lesions.
Int. J. High Perform. Comput. Appl.
Arash Ghorbannia, Cyrus Tanade, Ayman Yousef, Nusrat Sadia Khan, Madhurima Vardhan, Jocelyn T. Chi, Sayan Roychowdhury, Arpita Das, Jane A. Leopold, Eric C. Chi, Amanda Randles
2024 A conf
Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization.
SDM
Duc Toan Nguyen, Eric C. Chi
2023 J jnl
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion.
CoRR
Xiaoqian Liu, Xu Han, Eric C. Chi, Boaz Nadler
2023 J jnl
A Sharper Computational Tool for Regression.
Technometrics
Xiaoqian Liu, Eric C. Chi, Kenneth Lange
2023 J jnl
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo.
J. Comput. Graph. Stat.
Qiang Heng, Hua Zhou, Eric C. Chi
2023 J jnl
Robust Low-Rank Tensor Decomposition with the L
Technometrics
Qiang Heng, Eric C. Chi, Yufeng Liu
2023 J jnl
Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization.
CoRR
Duc Toan Nguyen, Eric C. Chi
2022 J jnl
A User-Friendly Computational Framework for Robust Structured Regression with the L
J. Comput. Graph. Stat.
Jocelyn T. Chi, Eric C. Chi
2022 J jnl
Multi-scale affinities with missing data: Estimation and applications.
Stat. Anal. Data Min.
Min Zhang, Gal Mishne, Eric C. Chi
2022 J jnl
Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty.
Pattern Recognit. Lett.
Xiaoqian Liu, Eric C. Chi
2021 — conf
An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions.
EMBC
Xiaoqian Liu, Madhurima Vardhan, Qinrou Wen, Arpita Das, Amanda Randles, Eric C. Chi
2021 J jnl
COBRAC: a fast implementation of convex biclustering with compression.
Bioinform.
Haidong Yi, Le Huang, Gal Mishne, Eric C. Chi
2021 J jnl
Discovering Geometry in Data Arrays.
Comput. Sci. Eng.
Eric C. Chi
2021 J jnl
Sparse Single Index Models for Multivariate Responses.
J. Comput. Graph. Stat.
Yuan Feng, Luo Xiao, Eric C. Chi
2020 J jnl
Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries.
CoRR
Jay S. Stanley III, Eric C. Chi, Gal Mishne
2020 J jnl
Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries.
IEEE Signal Process. Mag.
Jay S. Stanley III, Eric C. Chi, Gal Mishne
2020 J jnl
Provable Convex Co-clustering of Tensors.
J. Mach. Learn. Res.
Eric C. Chi, Brian J. Gaines, Will Wei Sun, Hua Zhou, Jian Yang
2019 A* conf
Co-manifold learning with missing data.
ICML
Gal Mishne, Eric C. Chi, Ronald R. Coifman
2019 J jnl
Recovering Trees with Convex Clustering.
SIAM J. Math. Data Sci.
Eric C. Chi, Stefan Steinerberger
2019 B conf
Shape Constrained Tensor Decompositions.
DSAA
Bethany Lusch, Eric C. Chi, J. Nathan Kutz
2018 J jnl
A majorization-minimization algorithm for split feasibility problems.
Comput. Optim. Appl.
Jason Xu, Eric C. Chi, Meng Yang, Kenneth Lange
2018 J jnl
Co-manifold learning with missing data.
CoRR
Gal Mishne, Eric C. Chi, Ronald R. Coifman
2018 J jnl
Recovering Trees with Convex Clustering.
CoRR
Eric C. Chi, Stefan Steinerberger
2017 — conf
Generalized Linear Model Regression under Distance-to-set Penalties.
NIPS
Jason Xu, Eric C. Chi, Kenneth Lange
2016 J jnl
Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries.
CoRR
Bethany Lusch, Eric C. Chi, J. Nathan Kutz
2015 J jnl
Convex Clustering: An Attractive Alternative to Hierarchical Clustering.
PLoS Comput. Biol.
Gary K. Chen, Eric C. Chi, John M. O. Ranola, Kenneth Lange
2014 J jnl
A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization.
Am. Math. Mon.
Eric C. Chi, Kenneth Lange
2014 J jnl
Distance majorization and its applications.
Math. Program.
Eric C. Chi, Hua Zhou, Kenneth Lange
2014 J jnl
Stable estimation of a covariance matrix guided by nuclear norm penalties.
Comput. Stat. Data Anal.
Eric C. Chi, Kenneth Lange
2013 — conf
Imaging genetics via sparse canonical correlation analysis.
ISBI
Eric C. Chi, Genevera I. Allen, Hua Zhou, Omid Kohannim, Kenneth Lange, Paul M. Thompson
2013 J jnl
Stable Estimation of a Covariance Matrix Guided by Nuclear Norm Penalties
CoRR
Eric C. Chi, Kenneth Lange
2012 J jnl
On Tensors, Sparsity, and Nonnegative Factorizations.
SIAM J. Matrix Anal. Appl.
Eric C. Chi, Tamara G. Kolda
2012 J jnl
Techniques for Solving Sudoku Puzzles
CoRR
Eric C. Chi, Kenneth Lange
2005 J jnl
Different Algorithms for Normal and Protection Paths.
J. Netw. Syst. Manag.
Rajarshi Gupta, Eric C. Chi, Jean C. Walrand
2004 J jnl
Proactive resource provisioning.
Comput. Commun.
Eric C. Chi, Michael Fu, Jean C. Walrand
2003 — conf
Different algorithms for normal and protection paths.
DRCN
Rajarshi Gupta, Eric C. Chi, Jean C. Walrand