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Revisiting the Nystrom Method for Improved Large-scale Machine Learning.

, and . J. Mach. Learn. Res., (2016)

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The spectral norm error of the naive Nystrom extension. CoRR, (2011)Approximate Spectral Clustering via Randomized Sketching., , and . CoRR, (2013)Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3608-3616. PMLR, (2017)Alchemist: An Apache Spark ⇔ MPI interface., , , , , , , , and . Concurrency and Computation: Practice and Experience, (2019)Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds., , and . CoRR, (2017)Revisiting the Nystrom method for improved large-scale machine learning., and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 567-575. JMLR.org, (2013)Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies., , , , , , , , , and 7 other author(s). BigData, page 204-213. IEEE Computer Society, (2016)Hardware compliant approximate image codes., , and . CVPR, page 924-932. IEEE Computer Society, (2015)Revisiting the Nystrom Method for Improved Large-scale Machine Learning., and . J. Mach. Learn. Res., (2016)Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist., , , , , , , , and . KDD, page 293-301. ACM, (2018)