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Robustly Learning a Gaussian: Getting Optimal Error, Efficiently.

, , , , , и . CoRR, (2017)

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Nikos Ilias

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A Nearly Tight Bound for Fitting an Ellipsoid to Gaussian Random Points., и . COLT, том 195 из Proceedings of Machine Learning Research, стр. 3014-3028. PMLR, (2023)SQ Lower Bounds for Learning Mixtures of Separated and Bounded Covariance Gaussians., , , и . COLT, том 195 из Proceedings of Machine Learning Research, стр. 2319-2349. PMLR, (2023)Boosting in the Presence of Massart Noise., , , , , и . COLT, том 134 из Proceedings of Machine Learning Research, стр. 1585-1644. PMLR, (2021)Robust Sparse Mean Estimation via Sum of Squares., , , , и . COLT, том 178 из Proceedings of Machine Learning Research, стр. 4703-4763. PMLR, (2022)Cryptographic Hardness of Learning Halfspaces with Massart Noise., , , и . NeurIPS, (2022)Nearly-Tight Bounds for Testing Histogram Distributions., , , и . NeurIPS, (2022)Deterministic Approximate Counting for Juntas of Degree-2 Polynomial Threshold Functions., , и . CCC, стр. 229-240. IEEE Computer Society, (2014)Robustly learning mixtures of k arbitrary Gaussians., , , , , и . STOC, стр. 1234-1247. ACM, (2022)Efficiently Learning Adversarially Robust Halfspaces with Noise., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 7010-7021. PMLR, (2020)Learning Poisson Binomial Distributions., , и . Algorithmica, 72 (1): 316-357 (2015)