( en | de | ru )

 

Disambiguation of "Mahoney, Michael W."

Author of the publication

copydeleteadd this publication to your clipboard
Exact expressions for double descent and implicit regularization via surrogate random design.

, , and . NeurIPS, (2020)

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

Semi-supervised eigenvectors for large-scale locally-biased learning., and . J. Mach. Learn. Res., 15 (1): 3691-3734 (2014)Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data., , , , , , and . KDD, page 3011-3021. ACM, (2023)Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware., , , and . SDM, page 100-108. SIAM, (2021)Inefficiency of K-FAC for Large Batch Size Training., , , , , , and . AAAI, page 5053-5060. AAAI Press, (2020)Empirical comparison of algorithms for network community detection., , and . WWW, page 631-640. ACM, (2010)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)Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels., , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 485-493. JMLR.org, (2014)Fast Monte Carlo Algorithms for Matrices II: Computing a Low-Rank Approximation to a Matrix, , and . SIAM J. Comput., 36 (1): 158-183 (2006)A Fast Post-Training Pruning Framework for Transformers., , , , , and . NeurIPS, (2022)Stateful ODE-Nets using Basis Function Expansions., , , and . NeurIPS, page 21770-21781. (2021)