Courses

Current Courses

Past Courses

TTIC and the University of Chicago

• Winter 2023, TTIC 31120: Statistical and Computational Learning Theory

• Winter 2022, TTIC 31020: Introduction to Machine Learning

• Fall 2020, TTIC 31120: Statistical and Computational Learning Theory

• Winter 2020, TTIC 31070/CMSC 35470/BUSF 36903/STAT 31015/CAAM 31015: Convex Optimization

• Fall 2018, TTIC 31120: Statistical and Computational Learning Theory

• Winter 2018, TTIC 31070/CMSC 35470/BUSF 36903/STAT 31015/CAAM 31015: Convex Optimization

• Fall 2016, TTIC 31120: Statistical and Computational Learning Theory

• Fall 2015, TTIC 31070/CMSC 35470/BUSF 36903/STAT 31015/CAAM 31015: Convex Optimization

• Spring 2015, TTIC 31120: Computational and Statistical Learning Theory

• Fall 2012, TTIC 31120: Computational and Statistical Learning Theory

• Spring 2012, TTIC 31070/CMSC 34500: Convex Optimization

• Winter 2011, TTIC 31120: Computational and Statistical Learning Theory

• Spring 2010, CMSC 34500: Optimization

• Fall 2008, CMSC 35900: A Probabilistic Approach to Machine Learning

• Spring 2008, CMSC 34500: Optimization

EPFL - École polytechnique fédérale de Lausanne

• Fall 2020, Statistical and Computational Learning Theory

Technion – Israel Institute of Technology

• Spring 2014, 236756: Introduction to Machine Learning

• Winter 2013/4, 236606: Topics in Convex Optimization

The Weizmann Institute of Science

• Winter 2010: Convex Optimization

• Winter 2009: Introduction to Machine Learning: A Statistical Learning Theory Approach

Massachusetts Institute of Technology

• Spring 2004, 6.045: Automata, Computability and Complexity

Course Material Prepared as a Teaching Assistant

Massachusetts Institute of Technology

• Fall 2003, 6.867: Machine Learning

• Fall 2001, 6.867: Machine Learning

Technion – Israel Institute of Technology

• Spring 1998, 236606: Algorithms in Computational Biology