Math @ Duke

Papers Published
 Helmuth, T; Lee, H; Perkins, W; Ravichandran, M; Wu, Q, Approximation algorithms for the randomfield Ising model
(August, 2021) [abs]
 Lee, H; Pabbaraju, C; Sevekari, A; Risteski, A, Universal Approximation for Logconcave Distributions using
Wellconditioned 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 logconcave distributions: Algorithms and lower bounds,
Proceedings of the Annual Acm Symposium on Theory of Computing
(June, 2020),
pp. 579586 [doi] [abs]
 Ghai, U; Lee, H; Singh, K; Zhang, C; Zhang, Y, NoRegret 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 lowcost solutions for multilayer nets,
Advances in Neural Information Processing Systems, vol. 32
(January, 2019) [abs]
 Lee, H; Mangoubi, O; Vishnoi, NK, Online sampling from logconcave 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 logconcavity: Provable guarantees for sampling multimodal distributions using simulated tempering langevin Monte Carlo,
Advances in Neural Information Processing Systems, vol. 2018December
(January, 2018),
pp. 78477856 [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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Mathematics Department
Duke University, Box 90320
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