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List-Decodable Mean Estimation in Nearly-PCA Time.

, , , , и . NeurIPS, стр. 10195-10208. (2021)

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Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions., , , и . NeurIPS, (2022)Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 7922-7938. PMLR, (2023)Robust Learning of Fixed-Structure Bayesian Networks, , , и . (2016)cite arxiv:1606.07384.Testing Bayesian Networks, , , и . (2016)cite arxiv:1612.03156Comment: To appear in IEEE Transactions on Information Theory.Private Testing of Distributions via Sample Permutations., , , и . NeurIPS, стр. 10877-10888. (2019)List-Decodable Mean Estimation via Iterative Multi-Filtering., , и . NeurIPS, (2020)List-Decodable Mean Estimation in Nearly-PCA Time., , , , и . NeurIPS, стр. 10195-10208. (2021)Outlier-Robust Clustering of Gaussians and Other Non-Spherical Mixtures., , , , , и . FOCS, стр. 149-159. IEEE, (2020)The entropy of lies: playing twenty questions with a liar., , , и . CoRR, (2018)The Optimal Approximation Factor in Density Estimation., , и . COLT, том 99 из Proceedings of Machine Learning Research, стр. 318-341. PMLR, (2019)