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The Power of Uniform Sampling for Coresets., , , , , , и . FOCS, стр. 462-473. IEEE, (2022)Near-Optimal Private and Scalable $k$-Clustering., , , , и . NeurIPS, (2022)Community Recovery in the Degree-Heterogeneous Stochastic Block Model., , и . COLT, том 178 из Proceedings of Machine Learning Research, стр. 1662-1692. PMLR, (2022)Near-Optimal Correlation Clustering with Privacy., , , , , , и . NeurIPS, (2022)Towards optimal lower bounds for k-median and k-means coresets., , , и . STOC, стр. 1038-1051. ACM, (2022)On the Fixed-Parameter Tractability of Capacitated Clustering., и . ICALP, том 132 из LIPIcs, стр. 41:1-41:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Breaching the 2 LMP Approximation Barrier for Facility Location with Applications to k-Median., , , и . CoRR, (2022)A Linear-Time n0.4-Approximation for Longest Common Subsequence., , и . CoRR, (2021)On the Fixed-Parameter Tractability of Capacitated Clustering., и . CoRR, (2022)A Near-Linear Approximation Scheme for Multicuts of Embedded Graphs with a Fixed Number of Terminals., , и . SODA, стр. 1439-1458. SIAM, (2018)