Min Xu

Departmental Postdoctoral Researcher
Department of Statistics
The Wharton School of the University of Pennsylvania

Email: minx [at] wharton.upenn.edu
Google Scholar Profile

About Me

I have moved to the Department of Statistics at Rutgers University. New website coming soon. I received my Ph.D. in Machine Learning in 2015 at Carnegie Mellon University under the supervision of Prof. John Lafferty. I have B.S. in electrical engineering and computer science with a minor in mathematics from UC Berkeley. I was a fellow in the 2013 Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship . I was also a research intern at the IECA group (now known as the Machine Learning group) in Microsoft Research Asia in 2012.

My research studies emerging estimation problems in the analysis of large and complex data and designs methods that have both scalable computation and strong theoretical guarantees. I am particularly interested in high-dimensional statistics, network data analysis, and machine learning problems with economics applications.



Journals Peer-reviewed Conferences
  • Representing documents through their users
    Khalid El-Arini, Min Xu, Emily Fox, Carlos Guestrin
    KDD 2013. [PDF]
  • Estimation bias in multi-armed bandit algorithms for search advertising
    Min Xu, Tao Qin, Tie-Yan Liu
    NIPS 2013. [PDF]
  • Conditional sparse coding and multivariate regression for grouped data
    Min Xu and John Lafferty
    ICML 2012. [PDF]
  • Robust active spectral clustering
    Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu, Aarti Singh
    ICML 2012. [PDF]
  • Noise thresholds for spectral clustering.
    Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy, Aarti Singh
    NIPS 2011. [PDF]


University of Pennsylvania
  • Instructor Spring 2017
    Stat 112: Introductory Statistics II
Carnegie Mellon University
  • TA Spring 2012
    10-704: Information Processing and Statistical Learning
  • TA Spring 2011
    10-702: Statistical Machine Learning
UC Berkeley
  • Instructor Summer 2009
    CS61A: Structure and Interpretation of Computer Programs
  • TA Spring 2009, Fall 2008
    CS61A: Structure and Interpretation of Computer Programs
  • TA Spring 2008
    CS70: Discrete Mathematics and Probability for Computer Science

Misc Reports

  • Targeting lost college potential
    Nihar Shah, Edward Su, Min Xu
    Technical Report completed as part of the 2013 Eric and Wendy Schmidt Data Science for Social Good Fellowship at the University of Chicago. [PDF]