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Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees.

, , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8799-8809. PMLR, (2021)

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The Min-Cost Matching with Concave Delays Problem., , and . CoRR, (2020)Hierarchical Clustering: A 0.585 Revenue Approximation., , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 153-162. PMLR, (2020)Tight Bounds for Clairvoyant Dynamic Bin Packing., and . SPAA, page 77-86. ACM, (2017)Tight Bounds for Clairvoyant Dynamic Bin Packing., and . ACM Trans. Parallel Comput., 6 (3): 15:1-15:21 (2019)Multi Layer Peeling for Linear Arrangement and Hierarchical Clustering., and . ICALP, volume 261 of LIPIcs, page 13:1-13:18. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Tree Learning: Optimal Sample Complexity and Algorithms., , , , , and . AAAI, page 6701-6708. AAAI Press, (2023)Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 559-567. PMLR, (2021)Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8799-8809. PMLR, (2021)Customization scenarios for de-identification of clinical notes., , , , , , , , , and 9 other author(s). BMC Medical Informatics Decis. Mak., 20 (1): 14 (2020)The Price of Clustering in Bin-Packing with Applications to Bin-Packingwith Delays., , , and . SPAA, page 1-10. ACM, (2019)