Machine learning • Probability theory and stochastic processes
Recent Publications
Helmuth, T; Lee, H; Perkins, W; Ravichandran, M; Wu, Q, Approximation algorithms for the random-field Ising model
(August, 2021) [abs]
Lee, H; Pabbaraju, C; Sevekari, A; Risteski, A, Universal Approximation for Log-concave Distributions using
Well-conditioned Normalizing Flows
(July, 2021) [abs]
Lee, H, Improved rates for prediction and identification of partially observed
linear dynamical systems,
Alt 2022
(November, 2020) [abs]
Ge, R; Lee, H; Lu, J; Risteski, A, Efficient sampling from the Bingham distribution
(September, 2020) [abs]
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]