( en | de | ru )

 

Disambiguation of "Mahoney, Michael W."

Author of the publication

copydeleteadd this publication to your clipboard
Hessian-Aware Pruning and Optimal Neural Implant.

, , , , , and . CoRR, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Francis Michael Mahoney

Robert Mahoney

Barbara Mahoney

Michael -W Koch

Michael W Driesch

 

Other publications of authors with the same name

Quantile Regression for Large-scale Applications., , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 881-887. JMLR.org, (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)Randomized Algorithms for Matrices and Data.. Foundations and Trends in Machine Learning, 3 (2): 123-224 (2011)Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters, , , and . (2008)cite arxiv:0810.1355Comment: 66 pages, a much expanded version of our WWW 2008 paper.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.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)GPU Accelerated Sub-Sampled Newton's Method for Convex Classification Problems., , , and . SDM, page 702-710. SIAM, (2019)Second-order optimization for non-convex machine learning: An empirical study, , and . arXiv preprint arXiv:1708.07827, (2017)Reading group.Randomized Dimensionality Reduction for k-Means Clustering., , , and . IEEE Trans. Inf. Theory, 61 (2): 1045-1062 (2015)Big Little Transformer Decoder., , , , , and . CoRR, (2023)