Teaching

  • Spring 2021: Stat 210b, Theoretical Statistics. Due to unforeseen circumstances, the first lecture will be held on Tuesday, January 26th.
  • Spring 2021: EECS 227C, Optimization and algorithms. Due to unforeseen circumstances, the first lecture will be held on Tuesday, January 26th.
  • Fall 2016: EECS 281A / STAT 241A: Machine Learning
  • Fall 2015: Nachdiplom Lectures, ETH Zurich ,
  • Spring 2015: STAT 210B Advanced Mathematical Statistics
  • Fall 2012: EECS 281A / STAT 241A Statistical Learning Theory (A)
  • Spring 2012: STAT 210B, Advanced Mathematical Statistics
  • Fall 2011: EECS 281A / STAT 241A, Statistical Learning Theory (A)
  • Spring 2011: Special course at Massachusetts Institute of Technology, Course 6.972, Statistical Inference in High Dimensions
  • Fall 2010: EECS 281A / STAT 241A, Statistical Learning Theory (A)
  • Spring 2010: STAT 212 Statistical inference in High Dimensions
  • Fall 2009: EECS 227, Nonlinear and Convex Optimization
  • Spring 2009: EECS 281B / STAT 241B, Advanced Topics in Statistical Learning Theory
  • Fall 2008: EECS 281A / STAT 241A, Statistical Learning Theory (A)
  • Fall 2007:
    EECS 126, Probability and Random Processes
    STAT 210A, Introduction to Mathematical Statistics
  • Fall 2006:
    EECS 126, Probability and Random Processes
    STAT 210, Introduction to Mathematical Statistics
  • Spring 2006: EECS 126, Probability and Random Processes
  • Fall 2005: EECS 281A / STAT 241A, Statistical Learning Theory (A)
  • Fall 2004: EE 227A / STAT 260 --- Nonlinear and Convex Optimization

    Back to top

  • Last updated 09/20/2004