Yuxin Chen

Yuxin Chen
  • Associate Professor of Statistics and Data Science
  • Associate Professor of Electrical and Systems Engineering (secondary appointment)

Contact Information

  • office Address:

    313 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: statistics, optimization, reinforcement learning, machine learning theory, information theory, statistical signal processing

Links: Personal Website, Google Scholar

Overview

For more information, please visit my Personal Website.

Openings

I’m looking for highly motivated postdocs and Ph. D. students with strong mathematical background and interest in machine learning theory, statistics, and optimization.

Education

Ph.D. in Electrical Engineering, Stanford University, 2015 (Advisor: Andrea J. Goldsmith)
M.S. in Statistics, Stanford University, 2013
M.S. in Electrical and Computer Engineering, University of Texas at Austin, 2010
B.E. in Electrical Engineering / Microelectronics, Tsinghua University, 2008

Academic Positions Held

Associate Professor of Statistics and Data Science,
Associate Professor of Electrical and Systems Engineering (secondary appointment),
The Wharton School, University of Pennsylvania, 2022-present

Assistant Professor of Electrical and Computer Engineering,
Associated Faculty Member of Computer Science and of Applied and Computational Mathematics,
Princeton University,  2017-2021

Postdoctoral Researcher, Department of Statistics
Stanford University, 2015-2017 (Advisor: Emmanuel J. Candès)

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Research

Teaching

Current Courses

  • OIDD481 - Conv Optim Stat Data Sci

    OIDD481401

  • OIDD581 - Conv Optim Stat Data Sci

    OIDD581401

  • STAT481 - Conv Optim Stat Data Sci: Convex Optimization For Statistics And Data Science

    STAT481401

  • STAT581 - Conv Optim Stat Data Sci: Convex Optimization For Statistics And Data Science

    STAT581401

  • STAT991 - Sem In Adv Appl Of Stat

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

    STAT991302 ( Syllabus )

Past Courses

  • STAT991 - SEM IN ADV APPL OF STAT

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

Awards and Honors

  • Princeton SEAS Junior Faculty Award, 2021
  • Princeton Graduate Mentoring Award, 2020
  • ICCM Best Paper Award (Gold Medal), 2020
  • ARO Young Investigator Program Award, 2020
  • Finalist for the Best Paper Prize for Young Researchers in Continuous Optimization, 2019
  • AFOSR Young Investigator Program Award, 2019

Activity

Latest Research

Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen (2022), Sample complexity of asynchronous Q-learning: sharper analysis and variance reduction, IEEE Transactions on Information Theory, 68 (1), pp. 448-473.
All Research