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Approximate Convex Hull of Data Streams.

, , , , and . ICALP, volume 107 of LIPIcs, page 21:1-21:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)

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Sparse Coresets for SVD on Infinite Streams., , , , and . CoRR, (2020)Efficient Coreset Constructions via Sensitivity Sampling., , , , and . ACML, volume 157 of Proceedings of Machine Learning Research, page 948-963. PMLR, (2021)New Frameworks for Offline and Streaming Coreset Constructions., , and . CoRR, (2016)Streaming Coreset Constructions for M-Estimators., , , and . APPROX-RANDOM, volume 145 of LIPIcs, page 62:1-62:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Deep Learning meets Projective Clustering., , , and . ICLR, OpenReview.net, (2021)Classroom of the Sea: Problem-Based Learning for the Deaf., , , , , , , and . ICCE, page 1340-1341. IEEE Computer Society, (2002)07695-1509-6.Provable Filter Pruning for Efficient Neural Networks., , , , and . ICLR, OpenReview.net, (2020)Improved Algorithms for Time Decay Streams., , , and . APPROX-RANDOM, volume 145 of LIPIcs, page 27:1-27:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Deterministic Coresets for Stochastic Matrices with Applications to Scalable Sparse PageRank., , , , , and . TAMC, volume 11436 of Lecture Notes in Computer Science, page 410-423. Springer, (2019)Approximate Convex Hull of Data Streams., , , , and . ICALP, volume 107 of LIPIcs, page 21:1-21:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)