Office Location: | 120 Science Drive, Durham, NC 27708, Durham, NC 27708 |

Email Address: | |

Web Page: | http://holdenlee.github.io |

**Teaching (Spring 2022):**

- MATH 340.01,
*ADVANCED INTRO PROBABILITY*Synopsis- Physics 235, TuTh 05:15 PM-06:30 PM
- (also cross-listed as STA 231.01)

- MATH 740.01,
*ADVANCED INTRO PROBABILITY*Synopsis- Physics 235, TuTh 05:15 PM-06:30 PM

**Office Hours:**- Spring 2021: Mondays 4-6PM

**Education:**Ph.D. Princeton University 2019

**Keywords:**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*(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]

- Helmuth, T; Lee, H; Perkins, W; Ravichandran, M; Wu, Q,