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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