Publications
Found 73 results
Author Title [ Type] Year Filters: Author is Michael W. Mahoney [Clear All Filters]
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Sub-Sampled Newton Methods.
Mathematical Programming. 293-326.
(2019). Signal Processing for Big Data (Editorial for Special Issue).
IEEE Signal Processing Magazine. 31, 15-16.
(2014). Shallow neural networks for fluid flow reconstruction with limited sensors.
Proceedings of the Royal Society A. 476(2238),
(2020). RandNLA: Randomized Numerical Linear Algebra.
Communications of the ACM. 59, 80-90.
(2016). A New Spin on an Old Algorithm: Technical Perspective on "Communication Costs of Strassen's Matrix Multiplication".
Communications of the ACM. 57(2), 106.
(2014). Mapping the Similarities of Spectra: Global and Locally-biased Approaches to SDSS Galaxy Data.
The Astrophysical Journal.
(2016). LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data.
Journal of Machine Learning Research. 23, 1-36.
(2022).