Math @ Duke
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Papers Published
- 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]
- Ghai, U; Lee, H; Singh, K; Zhang, C; Zhang, Y, No-Regret Prediction in Marginally Stable Systems
(February, 2020) [abs]
- Lee, H; Zhang, C, Robust guarantees for learning an autoregressive filter
(May, 2019) [abs]
- Kuditipudi, R; Wang, X; Lee, H; Zhang, Y; Li, Z; Hu, W; Arora, S; Ge, R, Explaining landscape connectivity of low-cost solutions for multilayer nets,
Advances in Neural Information Processing Systems, vol. 32
(January, 2019) [abs]
- Lee, H; Mangoubi, O; Vishnoi, NK, Online sampling from log-concave distributions,
Advances in Neural Information Processing Systems, vol. 32
(January, 2019) [abs]
- Ge, R; Lee, H; Risteski, A, Simulated Tempering Langevin Monte Carlo II: An Improved Proof using
Soft Markov Chain Decomposition,
Advances in Neural Information Processing Systems 31 (2018)
(November, 2018) [abs]
- Hazan, E; Lee, H; Singh, K; Zhang, C; Zhang, Y, Spectral Filtering for General Linear Dynamical Systems
(February, 2018) [abs]
- Ge, R; Lee, H; Risteski, A, Beyond log-concavity: Provable guarantees for sampling multi-modal distributions using simulated tempering langevin Monte Carlo,
Advances in Neural Information Processing Systems, vol. 2018-December
(January, 2018),
pp. 7847-7856 [abs]
- Lee, H; Ge, R; Ma, T; Risteski, A; Arora, S, On the ability of neural nets to express distributions
(February, 2017) [abs]
- Lee, H, Quadratic polynomials of small modulus cannot represent OR
(September, 2015) [abs]
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dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
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Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320
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