Yuxin Chen

Source: Scopus
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7 Active

Collaborative Research: Fine-Grained Statistical Inference in High Dimension: Actionable Information, Bias Reduction, and Optimality
Chen, Y.
NSF - National Science Foundation
7/1/20 → 6/30/23
Project: Research project
Trustworthy and Scalable Nonconvex Statistical Estimation for Sample-Starved Multi-Modal Data Models
Chen, Y.
Army Research Office - NC
5/1/20 → 4/30/23
Project: Research project
CIF: Small: Taming Nonconvexity in High-Dimensional Statistical Estimation
Chen, Y.
NSF - National Science Foundation
10/1/19 → 9/30/22
Project: Research project
RI: Medium:Collaborative Research:Algorithmic High-Dimensional Statistics: Statistical Optimality, Computational Barriers, and High-Dimensional Corrections
Chen, Y.
NSF - National Science Foundation
8/1/19 → 7/31/23
Project: Research project
The Unreasonable Effectiveness of Nonconvex Methods for High-Dimensional Statistical Data Analysis
Chen, Y.
Office of Naval Research - MA
4/15/19 → 4/14/22
Project: Research project

1030 Citations
14 h-Index
24 Article
21 Conference contribution
2 Paper
2 Conference article

Asymmetry helps: Eigenvalue and eigenvector analyses of asymmetrically perturbed low-rank matrices
Chen, Y., Cheng, C. & Fan, J., Feb 2021, In: Annals of Statistics. 49, 1, p. 435-458 24 p.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations
Nonconvex Matrix Factorization from Rank-One Measurements
Li, Y., Ma, C., Chen, Y. & Chi, Y., Mar 2021, In: IEEE Transactions on Information Theory. 67, 3, p. 1928-1950 23 p., 9317779.
Research output: Contribution to journal › Article › peer-review
Communication-efficient distributed optimization in networks with gradient tracking and variance reduction
Li, B., Cen, S., Chen, Y. & Chi, Y., Aug 2020, In: Journal of Machine Learning Research. 21
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution
Ma, C., Wang, K., Chi, Y. & Chen, Y., Jun 1 2020, In: Foundations of Computational Mathematics. 20, 3, p. 451-632 182 p.
Research output: Contribution to journal › Article › peer-review
12 Scopus citations
MagNet: A Machine Learning Framework for Magnetic Core Loss Modeling
Li, H., Lee, S. R., Luo, M., Sullivan, C. R., Chen, Y. & Chen, M., Nov 9 2020, 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020. Institute of Electrical and Electronics Engineers Inc., 9265869. (2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution