Current Member

Adam Klivans

Funding provided by Eric and Wendy Schmidt
Field of Study
Machine Learning, Computational Complexity
Home Institution
The University of Texas at Austin

Adam Klivans works at the intersection of theoretical computer science and machine learning. His research interests include developing provably efficient algorithms for learning neural networks and graphical models. He also works on making supervised learning algorithms robust to noise.

Dates at IAS
  • Mathematics
1/2020current Spring
Massachusetts Institute of Technology Ph.D., 2002