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Publications of Holden Lee    :chronological  alphabetical  combined  bibtex listing:

Papers Published

  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]
  6. Ghai, U; Lee, H; Singh, K; Zhang, C; Zhang, Y, No-Regret Prediction in Marginally Stable Systems (February, 2020)  [abs]
  7. Lee, H; Zhang, C, Robust guarantees for learning an autoregressive filter (May, 2019)  [abs]
  8. 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]
  9. Lee, H; Mangoubi, O; Vishnoi, NK, Online sampling from log-concave distributions, Advances in Neural Information Processing Systems, vol. 32 (January, 2019)  [abs]
  10. 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]
  11. Hazan, E; Lee, H; Singh, K; Zhang, C; Zhang, Y, Spectral Filtering for General Linear Dynamical Systems (February, 2018)  [abs]
  12. 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]
  13. Lee, H; Ge, R; Ma, T; Risteski, A; Arora, S, On the ability of neural nets to express distributions (February, 2017)  [abs]
  14. Lee, H, Quadratic polynomials of small modulus cannot represent OR (September, 2015)  [abs]

 

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