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The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity

, , and . (2018)cite arxiv:1802.06126Comment: Updated bibliography.

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Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization., and . CoRR, (2023)Mean-field approximation, convex hierarchies, and the optimality of correlation rounding: a unified perspective., , and . STOC, page 1226-1236. ACM, (2019)Learning restricted Boltzmann machines via influence maximization., , and . STOC, page 828-839. ACM, (2019)Optimal Batch Schedules for Parallel Machines., and . WADS, volume 8037 of Lecture Notes in Computer Science, page 475-486. Springer, (2013)Busy Time Scheduling on a Bounded Number of Machines (Extended Abstract)., and . WADS, volume 10389 of Lecture Notes in Computer Science, page 521-532. Springer, (2017)Learning Some Popular Gaussian Graphical Models without Condition Number Bounds., , , and . CoRR, (2019)The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity, , and . (2018)cite arxiv:1802.06126Comment: Updated bibliography.Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias., , , and . ICLR, OpenReview.net, (2022)Statistical Efficiency of Score Matching: The View from Isoperimetry., , and . ICLR, OpenReview.net, (2023)Trickle-Down in Localization Schemes and Applications., , and . STOC, page 1094-1105. ACM, (2024)