Sham M. Kakade

Principal Research Scientist
Microsoft Research, New England

Events: New England Machine Learning Day 2014

The third annual New England Machine Learning Day will be held May 13th, 2014. The event will bring together local academics and researchers in machine learning and its applications. There will be a lively poster session during lunch, like NEML 2012 and NEML 2013.



The focus of my work is on designing scalable and efficient algorithms for machine learning and artificial intelligence.
I have worked on problems in unsupervised (and representational) learning, algorithmic statistics, probabilistic inference, reinforcement learning, statistical learning theory, game theory, and economics. As a graduate student, I focused on reinforcement learning and computational neuroscience. My thesis was on sample complexity issues in reinforcement learning.


I am a principal research scientist at Microsoft Research, New England, a lab in Cambridge, MA. Previously, I was an associate professor at the Department of Statistics, Wharton, University of Pennsylvania (from 2010-2012), and I was an assistant professor at the Toyota Technological Institute at Chicago. Before this, I did a postdoc in the Computer and Information Science department at the University of Pennsylvania under the supervision of Michael Kearns. I completed my PhD at the Gatsby Unit where my advisor was Peter Dayan. Before Gatsby, I was an undergraduate at Caltech where I did my BS in physics.

Activities and Services

Co-chair for New York Computer Science and Economics Day V, Dec 3rd, 2012.
Program chair for the first New England Machine Learning Day, May 16th, 2012.
Program chair for the 24th Annual Conference on Learning Theory (COLT 2011) which took place in Budapest, Hungary, on July 9-11, 2011.

Course Links

Stat 928: Statistical Learning Theory
Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods
Large Scale Learning
Learning Theory

Former Postdocs

Daniel Hsu (while at UPenn)

Former Interns (in reverse chronological order)

Jaehyun Park
Karl Stratos
Do-kyum Kim
Praneeth Netrapalli
Rashish Tandon
Rong Ge
Adel Javanmard
Matus Telgarsky
Daniel Hsu (at TTI-C)
Sathyanarayan Anand (at TTI-C)

Contact Info

Email: skakade [at] microsoft [dot] com

Microsoft Research, Office 14060
One Memorial Drive
Cambridge, MA 02142