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All publications by Michael Mahoney
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Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares
Garvesh Raskutti and Michael Mahoney
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow
David Gleich and Michael Mahoney
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Jiyan Yang, Vikas Sindhwani, Haim Avron and Michael Mahoney
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael Mahoney and Bin Yu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Quantile Regression for Large-scale Applications
Jiyan Yang, Xiangrui Meng and Michael Mahoney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust Regression on MapReduce
Xiangrui Meng and Michael Mahoney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Revisiting the Nystrom method for improved large-scale machine learning
Alex Gittens and Michael Mahoney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013