Teaching

Instructor

• 45-851: Data Mining (MBA Elective), Carnegie Mellon University.

  • Spring 2022 (A4): 4.59/5.0, 26 MBA students (school avarage: 4.32).

  • Spring 2022 (B4): 4.82/5.0, 17 MBA students (school avarage: 4.32).

  • Fall 2021 (M2): 4.44/5.0, 30 MBA students (school avarage: 4.33).

• 45-895: Special Topics in Data Mining (MSBA Elective), Carnegie Mellon University.

  • Spring 2022 (M3): 4.32/5.0, 31 MSBA students (school avarage: 4.35).

Co-Instructor

• 10-708: Probabilistic Graphical Models, Carnegie Mellon University.

  • Spring 2013: [slides] on variational principle and [slides] on sparse nonparametric regression.

  • Spring 2012: [slides I] [slides II] [slides III] on variational inference.

Summer School and Workshop

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

  • Title: Probabilistic Modeling and Variational Inference.

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

  • Title: Probabilistic Graphical Models: Inference, Learning, and Case Studies.