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Subspace Sampling and Relative-Error Matrix Approximation: Column-Row-Based Methods.

, , and . ESA, volume 4168 of Lecture Notes in Computer Science, page 304-314. Springer, (2006)

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Faster least squares approximation., , , and . Numerische Mathematik, 117 (2): 219-249 (2011)Randomized Dimensionality Reduction for k-Means Clustering., , , and . IEEE Trans. Information Theory, 61 (2): 1045-1062 (2015)FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 404-414. PMLR, (2018)Quantile Regression for Large-scale Applications., , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 881-887. JMLR.org, (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)Fast approximation of matrix coherence and statistical leverage., , , and . ICML, icml.cc / Omnipress, (2012)Alchemist: An Apache Spark ⇔ MPI interface., , , , , , , , and . Concurrency and Computation: Practice and Experience, (2019)Evaluating OpenMP Tasking at Scale for the Computation of Graph Hyperbolicity., , , and . IWOMP, volume 8122 of Lecture Notes in Computer Science, page 71-83. Springer, (2013)Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression., , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1050-1069. PMLR, (2019)Parallel and Communication Avoiding Least Angle Regression., , , , and . CoRR, (2019)