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On-Device Algorithms for Public-Private Data with Absolute Privacy., , and . WWW, page 405-416. ACM, (2019)Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection., , , , , , and . CoRR, (2019)Incentive-Aware Learning for Large Markets., , , and . WWW, page 1369-1378. ACM, (2018)Efficient Algorithms for Public-Private Social Networks., , , , and . KDD, page 139-148. ACM, (2015)Perturb-and-Project: Differentially Private Similarities and Marginals., , , , and . ICML, OpenReview.net, (2024)Improved Sliding Window Algorithms for Clustering and Coverage via Bucketing-Based Sketches., , , and . SODA, page 3005-3042. SIAM, (2022)Ego-net Community Mining Applied to Friend Suggestion., , , , , and . Proc. VLDB Endow., 9 (4): 324-335 (2015)Communities, Random Walks, and Social Sybil Defense., , , , and . Internet Math., 10 (3-4): 360-420 (2014)Scalable Diversity Maximization via Small-size Composable Core-sets (Brief Announcement)., , and . SPAA, page 41-42. ACM, (2019)A Scalable Algorithm for Individually Fair k-Means Clustering., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3151-3159. PMLR, (2024)