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Sham Kakade

Professor at the University of Washington

Sham Kakade is currently a Gordon McKay Professor of Computer Science and Statistics at Harvard University and co-director of the Kempner Institute.12 He joined Harvard in spring 2022.1 Prior to this, he was a professor at the University of Washington from September 2015 to December 2021.3

Kakade is a prominent researcher in machine learning and artificial intelligence. His work focuses on:

  1. Developing efficient algorithms for machine learning and AI
  2. Exploring the mathematical foundations of deep learning
  3. Advancing the usefulness of large language models and generative AI1

Some of his notable contributions include:

  • Laying statistical foundations for reinforcement learning
  • Pioneering spectral and tensor methods for latent structure discovery
  • Analyzing stochastic gradient methods in nonconvex optimization
  • Developing mathematical foundations for linear bandit models and Gaussian process bandit models1

Kakade received his PhD from the Gatsby Computational Neuroscience Unit at University College London.13 He has also held positions at Microsoft Research and the Toyota Technological Institute at Chicago.2

His LinkedIn username is indeed sham-kakade-a51522174.3

Highlights

Teaching - Sham M. Kakade
Kenneth Li
May 4 · seas.harvard.edu
Sham Kakade
Jan 1 · openreview.net
Rosie Zhao | OpenReview
Sham M. Kakade – Bio
Apr 25 · en.wikipedia.org
Sham Kakade - Wikipedia
Apr 2 · l4dc.mit.edu
Sham Kakade
Sham Kakade
Sham M. Kakade
Sham M. Kakade
‪Sham M Kakade‬ - ‪Google Scholar‬
Sham Kakade - Simons Institute
Sham Kakade - Simons Institute

Related Questions

What are some of Sham Kakade's most notable contributions to machine learning?
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What is the Kempner Institute, and what role does Sham Kakade play in it?
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What are the main research areas Sham Kakade is currently focusing on?
Sham Kakade
Sham Kakade, photo 1
Sham Kakade, photo 2
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Location

Greater Seattle Area