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On the Analysis of EM for truncated mixtures of two Gaussians.

, и . ALT, том 117 из Proceedings of Machine Learning Research, стр. 634-659. PMLR, (2020)

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Sujatha Nagarajan

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An Analysis of $D^α$ seeding for $k$-means., , и . CoRR, (2023)Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach., , , , и . AAAI, стр. 9260-9267. AAAI Press, (2023)On the Analysis of EM for truncated mixtures of two Gaussians., и . ALT, том 117 из Proceedings of Machine Learning Research, стр. 634-659. PMLR, (2020)Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction., , и . AAMAS, стр. 1946-1948. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Online Algorithms with Costly Predictions., , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 8078-8101. PMLR, (2023)Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes., , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1441-1449. PMLR, (2021)Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem., , , и . CoRR, (2019)Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes., , , и . CoRR, (2020)Spatial Warped Gaussian Processes: Estimation and Efficient Field Reconstruction., , , и . Entropy, 23 (10): 1323 (2021)Analyzing Dα seeding for k-means., , и . ICML, OpenReview.net, (2024)