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The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity, , and . (2018)cite arxiv:1802.06126Comment: Updated bibliography.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)Learning Some Popular Gaussian Graphical Models without Condition Number Bounds., , , and . CoRR, (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)Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization., and . CoRR, (2023)Kalman Filtering with Adversarial Corruptions., , , and . CoRR, (2021)Distributional Hardness Against Preconditioned Lasso via Erasure-Robust Designs., , , and . CoRR, (2022)Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps., , , and . CoRR, (2024)