Publications
Found 39 results
Author Title Type [ Year
Filters: Author is Michael W. Mahoney [Clear All Filters]
Mapping the Similarities of Spectra: Global and Locally-biased Approaches to SDSS Galaxy Data.
The Astrophysical Journal.
(2016).
(2016). Mining Large graphs.
Handbook of Big Data. 191-220.
(2016). A multi-platform evaluation of the randomized CX low-rank matrix factorization in Spark.
Proceedings of the 5th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics.
(2016).
(2016). Parallel Local Graph Clustering.
Proceedings of the VLDB Endowment. 9(12),
(2016). RandNLA, Pythons, and the CUR for Your Data Problems: Reporting from G2S3 2015 in Delphi.
SIAM News.
(2016). RandNLA: Randomized Numerical Linear Algebra.
Communications of the ACM. 59, 80-90.
(2016). A Simple and Strongly-Local Flow-Based Method for Cut Improvement.
Proceedings of the 33rd ICML Conference.
(2016). Structural properties underlying high-quality Randomized Numerical Linear Algebra algorithms.
Handbook of Big Data. 137-154.
(2016).
(2016).
(2016). Sub-sampled Newton Methods with Non-uniform Sampling.
Proceedings of the 2016 NIPS Conference.
(2016). DCAR: A Discriminative and Compact Audio Representation for Audio Processing.
IEEE Transactions on Multimedia. PP(99),
(2017).