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
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