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A quasi-polynomial time algorithm for Multi-Dimensional Scaling via LP hierarchies.

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Rakesh Bakshi

 

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Robustly learning mixtures of k arbitrary Gaussians., , , , , и . STOC, стр. 1234-1247. ACM, (2022)An Improved Classical Singular Value Transformation for Quantum Machine Learning., и . SODA, стр. 2398-2453. SIAM, (2024)Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation., , и . CoRR, (2019)Efficient Certificates of Anti-Concentration Beyond Gaussians., , , , и . CoRR, (2024)Robust and Sample Optimal Algorithms for PSD Low Rank Approximation., , и . FOCS, стр. 506-516. IEEE, (2020)Krylov Methods are (nearly) Optimal for Low-Rank Approximation., и . FOCS, стр. 2093-2101. IEEE, (2023)Non Dominated Sorting Genetic Algorithm for Chance Constrained Supplier Selection Model with Volume Discounts., и . ACIIDS (2), том 8398 из Lecture Notes in Computer Science, стр. 465-474. Springer, (2014)Weighted Maximum Independent Set of Geometric Objects in Turnstile Streams., , и . APPROX-RANDOM, том 176 из LIPIcs, стр. 64:1-64:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)File Systems Fated for Senescence? Nonsense, Says Science!, , , , , , , , , и 1 other автор(ы). FAST, стр. 45-58. USENIX Association, (2017)File System Aging., , , , , , , , , и 4 other автор(ы). CoRR, (2024)