Past Member

Ke Li

Affiliation
Mathematics
Field of Study
Machine Learning, Computer Vision, Natural Language Processing and Algorithms
From 3/2020 – 6/2020:

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
Member
  • Mathematics
3/20206/2020 Spring
Degrees
University of California, Berkeley Ph.D., 2019
Appointments
University of California, Berkeley 2014–2019 Ph.D. Student
University of Toronto 2009–2014 Hon.B.Sc. Student