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Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions


Nov 03, 2022
Hongrui Chen, Holden Lee, Jianfeng Lu

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Fisher information lower bounds for sampling


Oct 05, 2022
Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu

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* 35 pages 

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Convergence of score-based generative modeling for general data distributions


Oct 03, 2022
Holden Lee, Jianfeng Lu, Yixin Tan

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Pitfalls of Gaussians as a noise distribution in NCE


Oct 01, 2022
Holden Lee, Chirag Pabbaraju, Anish Sevekari, Andrej Risteski

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* 14 pages, 1 figure 

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Convergence for score-based generative modeling with polynomial complexity


Jun 13, 2022
Holden Lee, Jianfeng Lu, Yixin Tan

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* 42 pages 

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Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods


Feb 17, 2022
Frederic Koehler, Holden Lee, Andrej Risteski

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* 43 pages 

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Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows


Jul 07, 2021
Holden Lee, Chirag Pabbaraju, Anish Sevekari, Andrej Risteski

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* 40 pages, 0 figures 

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Improved rates for identification of partially observed linear dynamical systems


Nov 19, 2020
Holden Lee

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* 24 pages 

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Efficient sampling from the Bingham distribution


Sep 30, 2020
Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski

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