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Massively Parallel k-Means Clustering for Perturbation Resilient Instances.

, , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 4180-4201. PMLR, (2022)

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Optimal principal component analysis in distributed and streaming models., , and . STOC, page 236-249. ACM, (2016)Resisting Adversarial Attacks by k-Winners-Take-All., , and . CoRR, (2019)Measuring Re-identification Risk., , , , , , , , , and 1 other author(s). Proc. ACM Manag. Data, 1 (2): 149:1-149:26 (2023)Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank., , , , and . NeurIPS, (2022)Massively Parallel k-Means Clustering for Perturbation Resilient Instances., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 4180-4201. PMLR, (2022)Brief Announcement: Streaming Balanced Clustering., , and . SPAA, page 311-314. ACM, (2023)Low rank approximation with entrywise l1-norm error., , and . STOC, page 688-701. ACM, (2017)Distributed low rank approximation of implicit functions of a matrix., and . ICDE, page 847-858. IEEE Computer Society, (2016)Deep learning of feature representation with multiple instance learning for medical image analysis., , , , , and . ICASSP, page 1626-1630. IEEE, (2014)Retraining with Predicted Hard Labels Provably Increases Model Accuracy., , , , , , , and . CoRR, (2024)