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Performance of Johnson-Lindenstrauss Transform for k-Means and k-Medians Clustering., , and . CoRR, (2018)Separating Hierarchical and General Hub Labelings., , and . MFCS, volume 8087 of Lecture Notes in Computer Science, page 469-479. Springer, (2013)Nearly-optimal bounds for sparse recovery in generic norms, with applications to $k$-median sketching., , , , and . CoRR, (2015)Randomized Smoothing of All Shapes and Sizes., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10693-10705. PMLR, (2020)Robust Hierarchical k-Center Clustering., , , and . ITCS, page 211-218. ACM, (2015)SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search., , , , , and . USENIX Security Symposium, page 2111-2128. USENIX Association, (2020)Performance of Johnson-Lindenstrauss transform for k-means and k-medians clustering., , and . STOC, page 1027-1038. ACM, (2019)A Linear Time Algorithm for Finding Three Edge-Disjoint Paths in Eulerian Networks., , and . SOFSEM, volume 5901 of Lecture Notes in Computer Science, page 165-175. Springer, (2010)On Model-Based RIP-1 Matrices., and . ICALP (1), volume 7965 of Lecture Notes in Computer Science, page 564-575. Springer, (2013)On Mean Estimation for General Norms with Statistical Queries., , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 2158-2172. PMLR, (2019)