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Jocelyn T. Chi
Jocelyn T. Chi
Math Department, UCLA
Verified email at math.ucla.edu - Homepage
Title
Cited by
Cited by
Year
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
1272016
Blind hyperspectral unmixing based on graph total variation regularization
J Qin, H Lee, JT Chi, L Drumetz, J Chanussot, Y Lou, AL Bertozzi
IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3338-3351, 2020
302020
Identifying sources of health care underutilization among California’s immigrants
JT Chi, MS Handcock
Journal of racial and ethnic health disparities 1 (3), 207-218, 2014
272014
A projector-based approach to quantifying total and excess uncertainties for sketched linear regression
JT Chi, ICF Ipsen
Information and Inference: A Journal of the IMA 11 (3), 1055--1077, 2021
10*2021
Fast blind hyperspectral unmixing based on graph laplacian
J Qin, H Lee, JT Chi, Y Lou, J Chanussot, AL Bertozzi
2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution…, 2019
102019
A User-Friendly Computational Framework for Robust Structured Regression with the L2 Criterion
JT Chi, EC Chi
Journal of Computational and Graphical Statistics 31 (4), 1051-1062, 2022
72022
SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data
JT Chi, ICF Ipsen, TH Hsiao, CH Lin, LS Wang, WP Lee, TP Lu, JY Tzeng
Frontiers in Genetics 12, 1878, 2021
42021
Multiplicative perturbation bounds for multivariate multiple linear regression in Schatten p-norms
JT Chi, ICF Ipsen
Linear Algebra and its Applications 624, 87-102, 2021
32021
Algorithms and analysis for the efficient solution of large-scale linear least squares problems
JT Chi
North Carolina State University, 2021
12021
Population-Based Hierarchical Non-negative Matrix Factorization for Survey Data
X Ding, X Dong, O McGough, C Shen, A Ulichney, R Xu, W Swartworth, ...
Proceedings of the IEEE/ACM International Conference on Big Data Computing…, 2022
2022
Sketched Gaussian Model Linear Discriminant Analysis via the Randomized Kaczmarz Method
JT Chi, D Needell
arXiv preprint arXiv:2211.05749, 2022
2022
2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)| 978-1-6654-6090-3/22/$31.00 2022 IEEE| DOI: 10.1109/BDCAT56447. 2022.00050
A Abdulraheem, HB Adeyemo, S Ahmad, A Aleroud, SA Alhosseini, ...
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