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Yuejie Chi

74 papers hereh-index 478.4k citations168 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author5
  • middle author28
  • last author36

Across the 71 of 74 papers where every author was matched, so the position is known.

fields
  • cs.LG27
  • stat.ML18
  • cs.IT15
  • eess.SP5
  • math.OC3
  • cs.GT2
same name
  • Yuejie Chi — 13 papers, h 6
  • Yuejie Chi — 12 papers, h 7
  • Yuejie Chi — 6 papers, h 6
  • Yuejie Chi — 5 papers, h 2
  • Yuejie Chi — 4 papers, h 2
  • Yuejie Chi — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122023
most citedNonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

378 citations · 2.2k across the 69 of their papers we have counts for

collaborators
Showing 2017Show all

3 papers · 1 filter

cs.LG2017★ 228 cited

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution

Cong Ma, Kaizheng Wang, Yuejie Chi +1

Recent years have seen a flurry of activities in designing provably efficient nonconvex procedures for solving statistical estimation problems. Due to the highly nonconvex nature o…

eess.SP2017★ 50 cited

Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms

Haoyu Fu, Yuejie Chi

Efficient estimation of wideband spectrum is of great importance for applications such as cognitive radio. Recently, sub-Nyquist sampling schemes based on compressed sensing have b…

cs.IT2017★ 5 cited

Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent

Yuanxin Li, Yuejie Chi, Huishuai Zhang +1

Recent work has demonstrated the effectiveness of gradient descent for directly recovering the factors of low-rank matrices from random linear measurements in a globally convergent…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.