Current Member

Ke Li

Field of Study
Machine Learning, Computer Vision, Natural Language Processing and Algorithms
Home Institution
Institute for Advanced Study

Ke Li is broadly interested in machine learning methodology and applications. He is working on a replacement for generative adversarial nets that overcomes mode collapse, a method for automatically discovering new optimization algorithms, and a family of randomized algorithms for exact nearest neighbor search that sidesteps the curse of dimensionality.

Dates at IAS
  • Mathematics
1/2020current Spring
University of California, Berkeley Ph.D., 2019
University of California, Berkeley 2014–2019 Ph.D. Student
University of Toronto 2009–2014 Hon.B.Sc. Student