Eric C. Chi

Orcid: 0000-0003-4647-0895

According to our database1, Eric C. Chi authored at least 30 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023
Robust Low-Rank Tensor Decomposition with the L <sub>2</sub> Criterion.
Technometrics, October, 2023

A Sharper Computational Tool for Regression.
Technometrics, January, 2023

Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo.
J. Comput. Graph. Stat., 2023

A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion.
CoRR, 2023

2022
A User-Friendly Computational Framework for Robust Structured Regression with the L<sub>2</sub> Criterion.
J. Comput. Graph. Stat., October, 2022

Multi-scale affinities with missing data: Estimation and applications.
Stat. Anal. Data Min., 2022

Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty.
Pattern Recognit. Lett., 2022

2021
Sparse Single Index Models for Multivariate Responses.
J. Comput. Graph. Stat., 2021

Discovering Geometry in Data Arrays.
Comput. Sci. Eng., 2021

COBRAC: a fast implementation of convex biclustering with compression.
Bioinform., 2021

An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries.
IEEE Signal Process. Mag., 2020

Provable Convex Co-clustering of Tensors.
J. Mach. Learn. Res., 2020

Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries.
CoRR, 2020

2019
Recovering Trees with Convex Clustering.
SIAM J. Math. Data Sci., 2019

Co-manifold learning with missing data.
Proceedings of the 36th International Conference on Machine Learning, 2019

Shape Constrained Tensor Decompositions.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018
A majorization-minimization algorithm for split feasibility problems.
Comput. Optim. Appl., 2018

2017
Generalized Linear Model Regression under Distance-to-set Penalties.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries.
CoRR, 2016

2015
Convex Clustering: An Attractive Alternative to Hierarchical Clustering.
PLoS Comput. Biol., 2015

2014
A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization.
Am. Math. Mon., 2014

Distance majorization and its applications.
Math. Program., 2014

Stable estimation of a covariance matrix guided by nuclear norm penalties.
Comput. Stat. Data Anal., 2014

2013
Imaging genetics via sparse canonical correlation analysis.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
On Tensors, Sparsity, and Nonnegative Factorizations.
SIAM J. Matrix Anal. Appl., 2012

Techniques for Solving Sudoku Puzzles
CoRR, 2012

2005
Different Algorithms for Normal and Protection Paths.
J. Netw. Syst. Manag., 2005

2004
Proactive resource provisioning.
Comput. Commun., 2004


  Loading...