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researcher

Cong Ma

23 papers hereh-index 182.1k citations36 works total

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

author position
  • first author6
  • middle author14
  • last author3

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • stat.ML10
  • cs.LG7
  • math.ST2
  • stat.ME2
  • cs.IT1
  • eess.SP1
same name
  • Cong Ma — 8 papers, h 8
  • Cong Ma — 6 papers, h 5
  • Cong Ma — 6 papers, h 2
  • Cong Ma — 6 papers, h 4
  • Cong Ma — 5 papers, h 8
  • Cong Ma — 5 papers, h 2

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
20172023
most citedImplicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution

228 citations · 726 across the 22 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

stat.ML2019★ 129 cited

Inference and Uncertainty Quantification for Noisy Matrix Completion

Yuxin Chen, Jianqing Fan, Cong Ma +1

Noisy matrix completion aims at estimating a low-rank matrix given only partial and corrupted entries. Despite substantial progress in designing efficient estimation algorithms, it…

stat.ML2019★ 41 cited

A Selective Overview of Deep Learning

Jianqing Fan, Cong Ma, Yiqiao Zhong

Deep learning has arguably achieved tremendous success in recent years. In simple words, deep learning uses the composition of many nonlinear functions to model the complex depende…

stat.ML2019★ 20 cited

Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

Yuxin Chen, Yuejie Chi, Jianqing Fan +2

This paper studies noisy low-rank matrix completion: given partial and noisy entries of a large low-rank matrix, the goal is to estimate the underlying matrix faithfully and effici…

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