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Private estimation algorithms for stochastic block models and mixture models.

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Другие публикации лиц с тем же именем

Privacy Amplification Via Bernoulli Sampling., и . CoRR, (2021)Communication-Efficient Triangle Counting under Local Differential Privacy., , и . USENIX Security Symposium, стр. 537-554. USENIX Association, (2022)Balancing utility and scalability in metric differential privacy., , , , и . UAI, том 180 из Proceedings of Machine Learning Research, стр. 885-894. PMLR, (2022)Differentially Private Hierarchical Clustering with Provable Approximation Guarantees., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 14353-14375. PMLR, (2023)Private estimation algorithms for stochastic block models and mixture models., , , , , , и . CoRR, (2023)Capacity Bounded Differential Privacy., , и . NeurIPS, стр. 3469-3478. (2019)Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model., , и . CCS, стр. 1505-1519. ACM, (2022)Locally Differentially Private Analysis of Graph Statistics., , и . USENIX Security Symposium, стр. 983-1000. USENIX Association, (2021)Online k-means Clustering on Arbitrary Data Streams., , , и . ALT, том 201 из Proceedings of Machine Learning Research, стр. 204-236. PMLR, (2023)