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Journal Articles
- 2023
[j20]Qiang Heng
, Hua Zhou, Eric C. Chi:
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo. J. Comput. Graph. Stat. 32(3): 938-949 (2023)- [j19]Xiaoqian Liu, Eric C. Chi, Kenneth Lange:
A Sharper Computational Tool for Regression. Technometrics 65(1): 117-126 (2023) - [j18]Qiang Heng, Eric C. Chi, Yufeng Liu:
Robust Low-Rank Tensor Decomposition with the L 2 Criterion. Technometrics 65(4): 537-552 (2023) - 2022
- [j17]Jocelyn T. Chi, Eric C. Chi:
A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion. J. Comput. Graph. Stat. 31(4): 1051-1062 (2022) - [j16]Xiaoqian Liu, Eric C. Chi:
Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty. Pattern Recognit. Lett. 156: 60-66 (2022) - [j15]Min Zhang, Gal Mishne, Eric C. Chi:
Multi-scale affinities with missing data: Estimation and applications. Stat. Anal. Data Min. 15(3): 303-313 (2022) - 2021
- [j14]Haidong Yi, Le Huang, Gal Mishne, Eric C. Chi:
COBRAC: a fast implementation of convex biclustering with compression. Bioinform. 37(20): 3667-3669 (2021) - [j13]Eric C. Chi:
Discovering Geometry in Data Arrays. Comput. Sci. Eng. 23(6): 42-51 (2021) - [j12]Yuan Feng, Luo Xiao, Eric C. Chi:
Sparse Single Index Models for Multivariate Responses. J. Comput. Graph. Stat. 30(1): 115-124 (2021) - 2020
- [j11]Eric C. Chi, Brian J. Gaines, Will Wei Sun, Hua Zhou, Jian Yang:
Provable Convex Co-clustering of Tensors. J. Mach. Learn. Res. 21: 214:1-214:58 (2020) - [j10]Jay S. Stanley III, Eric C. Chi, Gal Mishne:
Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries. IEEE Signal Process. Mag. 37(6): 160-173 (2020) - 2019
- [j9]Eric C. Chi, Stefan Steinerberger:
Recovering Trees with Convex Clustering. SIAM J. Math. Data Sci. 1(3): 383-407 (2019) - 2018
- [j8]Jason Xu, Eric C. Chi, Meng Yang, Kenneth Lange:
A majorization-minimization algorithm for split feasibility problems. Comput. Optim. Appl. 71(3): 795-828 (2018) - 2015
- [j7]Gary K. Chen, Eric C. Chi, John M. O. Ranola, Kenneth Lange:
Convex Clustering: An Attractive Alternative to Hierarchical Clustering. PLoS Comput. Biol. 11(5) (2015) - 2014
- [j6]Eric C. Chi, Kenneth Lange:
Stable estimation of a covariance matrix guided by nuclear norm penalties. Comput. Stat. Data Anal. 80: 117-128 (2014) - [j5]Eric C. Chi, Hua Zhou, Kenneth Lange:
Distance majorization and its applications. Math. Program. 146(1-2): 409-436 (2014) - [j4]Eric C. Chi, Kenneth Lange:
A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization. Am. Math. Mon. 121(2): 95-108 (2014) - 2012
- [j3]Eric C. Chi, Tamara G. Kolda:
On Tensors, Sparsity, and Nonnegative Factorizations. SIAM J. Matrix Anal. Appl. 33(4): 1272-1299 (2012) - 2005
- [j2]Rajarshi Gupta, Eric C. Chi, Jean C. Walrand:
Different Algorithms for Normal and Protection Paths. J. Netw. Syst. Manag. 13(1): 13-33 (2005) - 2004
- [j1]Eric C. Chi, Michael Fu, Jean C. Walrand:
Proactive resource provisioning. Comput. Commun. 27(12): 1174-1182 (2004)
Conference and Workshop Papers
- 2024
- [c7]Duc Toan Nguyen, Eric C. Chi:
Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization. SDM 2024: 217-225 - 2021
- [c6]Xiaoqian Liu, Madhurima Vardhan, Qinrou Wen, Arpita Das, Amanda Randles, Eric C. Chi:
An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions. EMBC 2021: 4432-4435 - 2019
- [c5]Bethany Lusch, Eric C. Chi, J. Nathan Kutz:
Shape Constrained Tensor Decompositions. DSAA 2019: 287-297 - [c4]Gal Mishne, Eric C. Chi, Ronald R. Coifman:
Co-manifold learning with missing data. ICML 2019: 4605-4614 - 2017
- [c3]Jason Xu, Eric C. Chi, Kenneth Lange:
Generalized Linear Model Regression under Distance-to-set Penalties. NIPS 2017: 1385-1395 - 2013
- [c2]Eric C. Chi, Genevera I. Allen, Hua Zhou, Omid Kohannim, Kenneth Lange, Paul M. Thompson:
Imaging genetics via sparse canonical correlation analysis. ISBI 2013: 740-743 - 2003
- [c1]Rajarshi Gupta, Eric C. Chi, Jean C. Walrand:
Different algorithms for normal and protection paths. DRCN 2003: 189-196
Informal and Other Publications
- 2023
- [i8]Xiaoqian Liu, Xu Han, Eric C. Chi, Boaz Nadler:
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion. CoRR abs/2304.13940 (2023) - [i7]Duc Toan Nguyen, Eric C. Chi:
Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization. CoRR abs/2309.13733 (2023) - 2020
- [i6]Jay S. Stanley III, Eric C. Chi, Gal Mishne:
Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries. CoRR abs/2007.00041 (2020) - 2018
- [i5]Eric C. Chi, Stefan Steinerberger:
Recovering Trees with Convex Clustering. CoRR abs/1806.11096 (2018) - [i4]Gal Mishne, Eric C. Chi, Ronald R. Coifman:
Co-manifold learning with missing data. CoRR abs/1810.06803 (2018) - 2016
- [i3]Bethany Lusch, Eric C. Chi, J. Nathan Kutz:
Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries. CoRR abs/1608.04674 (2016) - 2013
- [i2]Eric C. Chi, Kenneth Lange:
Stable Estimation of a Covariance Matrix Guided by Nuclear Norm Penalties. CoRR abs/1305.3312 (2013) - 2012
- [i1]Eric C. Chi, Kenneth Lange:
Techniques for Solving Sudoku Puzzles. CoRR abs/1203.2295 (2012)
Coauthor Index
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last updated on 2024-09-13 01:38 CEST by the dblp team
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