Sham M. Kakade — Teaching

(He/Him/His)

Co-director of the Kempner Institute

Gordon McKay Professor of Computer Science and Statistics

Harvard University

Current:

CS 2281R: How to train your foundation model Fall 2024

Prior Courses:

CS/Stat 184: Introduction to Reinforcement Learning Fall 2023
CS/Stat 184: Introduction to Reinforcement Learning Fall 2022
CS 6789: Foundations of Reinforcement Learning Fall 2020, Cornell
CSE 599m: Reinforcement Learning and Bandits Spring 2019, UW
CSE 446: Machine Learning Winter 2019, UW
CSE 547 / STAT 548: Machine Learning for Big Data Spring 2018, UW
CSE 446: Machine Learning Winter 2018, UW
CSE 547 / STAT 548: Machine Learning for Big Data Spring 2017, UW
CSE 546: Machine Learning Autumn 2016, UW
CSE 547 / STAT 548: Machine Learning for Big Data Spring 2016, UW
CSE 546: Machine Learning Autumn 2015, UW
Stat 928: Statistical Learning Theory Spring 2011, Wharton, UPenn
Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Spring 2010, Wharton, UPenn
Large Scale Learning Spring 2009, TTI-C
Learning Theory Spring 2008, TTI-C