Teaching

Instructor

  • MIS 601 (PhD Core): Statistical Foundations of Machine Learning, University of Arizona, Fall 2017.

  • MIS 301 (Undergraduate Core): Data Structures and Algorithms, University of Arizona, Fall 2017.

  • MIS 596A (PhD Core): Statistical Foundations of Machine Learning, University of Arizona, Fall 2016, 5/5.

  • MIS 301 (Undergraduate Core): Data Structures and Algorithms, University of Arizona, Fall 2016, 4.33/5 and 4.34/5.

  • MIS 596A (PhD Core): Statistical Foundations of Machine Learning, University of Arizona, Fall 2015, 4.92/5.

  • MIS 301 (Undergraduate Core): Data Structures and Algorithms, University of Arizona, Spring 2016, 4.22/5 and 4.34/5.

Co-Instructor

  • 10-708: Probabilistic Graphical Models, Carnegie Mellon University, Spring 2013.
    [slides] on variational principle and [slides] on sparse nonparametric regression

Teaching Assistant

  • STAT 241B: Advanced Topics in Statistical Learning Theory, UC Berkeley, Spring 2009.

  • CS 170: Efficient Algorithms and Intractable Problems, UC Berkeley, Spring 2006.

  • CS 170: Efficient Algorithms and Intractable Problems, UC Berkeley, Fall 2005.

Summer School and Workshop

  • SMART Workshop, Foster School of Business, University of Washington, August 2017.

  • Summer School on Data Science, School of Mathematical Sciences, Peking University, July 2017.