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Disambiguation of "Mahoney, Michael W"

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Second-order optimization for non-convex machine learning: An empirical study

, , and . arXiv preprint arXiv:1708.07827, (2017)Reading group.

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Francis Michael Mahoney

Robert Mahoney

Barbara Mahoney

Michael -W Koch

Michael W Driesch

 

Other publications of authors with the same name

Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008, , and . CoRR, (2008)Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study, , and . (2017)cite arxiv:1708.07827Comment: 21 pages, 11 figures. Restructure the paper and add experiments.Second-order optimization for non-convex machine learning: An empirical study, , and . arXiv preprint arXiv:1708.07827, (2017)Reading group.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)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)Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior, and . (2017)cite arxiv:1710.09553Comment: 31 pages; added brief discussion of recent papers that use/extend these ideas.GPU Accelerated Sub-Sampled Newton's Method for Convex Classification Problems., , , and . SDM, page 702-710. SIAM, (2019)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)Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks., and . SDM, page 505-513. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..