Holden Lee, Phillip Griffiths Assistant Research Professor

Holden Lee
Office Location:  120 Science Drive, Durham, NC 27708, Durham, NC 27708
Email Address: send me a message
Web Page:  http://holdenlee.github.io

Teaching (Spring 2022):

Office Hours:

Spring 2021: Mondays 4-6PM
Education:

Ph.D.Princeton University2019
Keywords:

Machine learning • Probability theory and stochastic processes

Recent Publications

  1. Helmuth, T; Lee, H; Perkins, W; Ravichandran, M; Wu, Q, Approximation algorithms for the random-field Ising model (August, 2021)  [abs]
  2. Lee, H; Pabbaraju, C; Sevekari, A; Risteski, A, Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows (July, 2021)  [abs]
  3. Lee, H, Improved rates for prediction and identification of partially observed linear dynamical systems (November, 2020)  [abs]
  4. Ge, R; Lee, H; Lu, J; Risteski, A, Efficient sampling from the Bingham distribution (September, 2020)  [abs]
  5. Ge, R; Lee, H; Lu, J, Estimating normalizing constants for log-concave distributions: Algorithms and lower bounds, Proceedings of the Annual Acm Symposium on Theory of Computing (June, 2020), pp. 579-586 [doi]  [abs]