Publications
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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). 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). Identifying Important Ions and Positions in Mass Spectrometry Imaging Data Using CUR Matrix Decompositions.
Analytical Chemistry. 87(9), 4658-4666.
(2015). DCAR: A Discriminative and Compact Audio Representation for Audio Processing.
IEEE Transactions on Multimedia. PP(99),
(2017). Weighted SGD for ℓp Regression with Randomized Preconditioning.
Proceedings of the 27th Annual SODA Conference. 558-569.
(2015). Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms.
Proceedings of the 21st Annual SIGKDD.
(2015).