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Yuxin Chen

  • 865 Citations
  • 13 h-Index
20102020

Research output per year

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Projects

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

    • Research Output

    • 865 Citations
    • 13 h-Index
    • 20 Conference contribution
    • 20 Article
    • 2 Paper
    • 2 Conference article

    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

    • 4 Scopus citations

    Nonconvex matrix factorization from rank-one measurements

    Li, Y., Ma, C., Chen, Y. & Chi, Y., Jan 1 2020.

    Research output: Contribution to conference › Paper

    • 1 Scopus citations

    Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval

    Chen, Y., Chi, Y., Fan, J. & Ma, C., Jul 1 2019, In : Mathematical Programming. 176, 1-2, p. 5-37 33 p.

    Research output: Contribution to journal › Article

    • 13 Scopus citations

    Inference and uncertainty quantification for noisy matrix completion

    Chen, Y., Fan, J., Ma, C. & Yan, Y., Nov 12 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 46, p. 22931-22937 7 p.

    Research output: Contribution to journal › Article

    Open Access
    • 3 Scopus citations

    Nonconvex low-rank symmetric tensor completion from noisy data

    Cai, C., Li, G., Vincent Poor, H. & Chen, Y., 2019, In : Advances in Neural Information Processing Systems. 32

    Research output: Contribution to journal › Conference article

    • 1 Scopus citations