Scholar

Chen Cheng

Google Scholar ID: UqiD090AAAAJ

Postdoctoral Scholar in Statistics, University of Chicago

StatisticsMachine learning theoryRandom matrixReinforcement learning

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

541

H-index

7

i10-index

7

Publications

13

Co-authors

13

list available

Contact

Emailchencheng@uchicago.edu CVOpen ↗GitHubOpen ↗LinkedInOpen ↗

Publications

2 items

Is Memorization Helpful or Harmful? Prior Information Sets the Threshold

2026

Cited

0

Concentration Inequalities for Exchangeable Tensors and Matrix-valued Data

2026

Cited

0

Resume (English only)

Academic Achievements

Recipient of the William R. Hewlett Stanford Graduate Fellowship

Background

Research interests: Mathematical theory and algorithms for high-dimensional data and statistical models. Topics include high-dimensional statistics, statistical theory on machine learning, reinforcement learning, deep learning theory, and conformal prediction.

Miscellany

Personal interest: Cycling

Co-authors

13 total

University of Pennsylvania

Statistics and Data Science at Wharton, University of Pennsylvania

Associate Professor of Statistics and Electrical Engineering, Stanford University

Andrea Montanari

John D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford University

PhD Candidate, Carnegie Mellon University

Yale University

Michael Celentano

Miller Fellow (Postdoc), University of California, Berkeley

Professor of Statistics, Professor of Finance, Princeton University