Publications
Found 50 results
Author [ Title
Filters: Author is Michael W. Mahoney [Clear All Filters]
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). Unified Acceleration Method for Packing and Covering Problems via Diameter Reduction.
Proceedings of the 43rd ICALP Conference.
(2015).
(2014).
Traditional and Heavy-Tailed Self Regularization in Neural Network Models.
Proceeding of the 36th ICML Conference. 4284-4293.
(2019).
(2014). Sub-sampled Newton Methods with Non-uniform Sampling.
Proceedings of the 2016 NIPS Conference.
(2016).
(2016).
(2016). Sub-Sampled Newton Methods.
Mathematical Programming. 293-326.
(2019).
(2015). Structural properties underlying high-quality Randomized Numerical Linear Algebra algorithms.
Handbook of Big Data. 137-154.
(2016).
(2014). Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks.
Proceedings of the 25th Annual SIGKDD. 3239-3240.
(2019).
(2015). A Simple and Strongly-Local Flow-Based Method for Cut Improvement.
Proceedings of the 33rd ICML Conference.
(2016). Signal Processing for Big Data (Editorial for Special Issue).
IEEE Signal Processing Magazine. 31, 15-16.
(2014).
(2014).
RandNLA: Randomized Numerical Linear Algebra.
Communications of the ACM. 59, 80-90.
(2016).
(2016).
(2014).
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT.
Proceedings of the AAAI-20 Conference.
(2020). Parallel Local Graph Clustering.
Proceedings of the VLDB Endowment. 9(12),
(2016).
(2016).
(2015).