Publications
Found 50 results
Author [ Title
Filters: Author is Michael W. Mahoney [Clear All Filters]
(2015).
(2016).
Parallel Local Graph Clustering.
Proceedings of the VLDB Endowment. 9(12),
(2016). Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT.
Proceedings of the AAAI-20 Conference.
(2020).
(2014). 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).
(2014). Signal Processing for Big Data (Editorial for Special Issue).
IEEE Signal Processing Magazine. 31, 15-16.
(2014). A Simple and Strongly-Local Flow-Based Method for Cut Improvement.
Proceedings of the 33rd ICML Conference.
(2016).
(2015). Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks.
Proceedings of the 25th Annual SIGKDD. 3239-3240.
(2019).
(2014). Structural properties underlying high-quality Randomized Numerical Linear Algebra algorithms.
Handbook of Big Data. 137-154.
(2016).
(2015). Sub-Sampled Newton Methods.
Mathematical Programming. 293-326.
(2019).
(2016).
(2016). Sub-sampled Newton Methods with Non-uniform Sampling.
Proceedings of the 2016 NIPS Conference.
(2016).
(2014).
Traditional and Heavy-Tailed Self Regularization in Neural Network Models.
Proceeding of the 36th ICML Conference. 4284-4293.
(2019).
(2014). Unified Acceleration Method for Packing and Covering Problems via Diameter Reduction.
Proceedings of the 43rd ICALP Conference.
(2015). Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms.
Proceedings of the 21st Annual SIGKDD.
(2015). Weighted SGD for ℓp Regression with Randomized Preconditioning.
Proceedings of the 27th Annual SODA Conference. 558-569.
(2015).