Courses

Courses

Stat 210A, Theoretical Statistics, Fall 2014

CS 281A / Stat 241A, Statistical Learning Theory, Spring 2014

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