Courses
Courses
CS 281A / Stat 241A,
Statistical Learning Theory, Fall 2011
Stat 210B, Theoretical Statistics,
Spring 2011
Stat 260/CS 294, Bayesian Modeling
and Inference, Spring 2010
CS 294, Practical Machine Learning,
Fall 2009
CS 170, Efficient Algorithms and
Intractable Problems, Fall 2005
CS 281B / Stat 241B, Advanced Topics in Learning
and Decision Making, Spring 2004
CS 174, Combinatorics and
Discrete Probability, Spring 2002
Stat 153, Introduction to Time Series Analysis,
Fall 2001
CS 172, Computability and Complexity, Fall 1999