# Michael W. Mahoney, Ph.D.

## Affiliations: | Statistics | University of California, Berkeley, Berkeley, CA, United States | |

2000 | Yale University, New Haven, CT |

##### Area:

computational chemistry and molecular design##### Google:

"Michael Mahoney"##### Cross-listing: Chemistry Tree

#### Parents

Sign in to add mentorWilliam L. Jorgensen | grad student | 2000 | Yale (Chemistry Tree) | |

(The computational statistical mechanics of simple models of liquid water.) |

BETA: Related publications

See more...

#### Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |

Devarakonda A, Fountoulakis K, Demmel J, et al. (2019) Avoiding Communication in Primal and Dual Block Coordinate Descent Methods Siam Journal On Scientific Computing. 41: C1-C27 |

Xu P, Roosta F, Mahoney MW. (2019) Newton-type methods for non-convex optimization under inexact Hessian information Mathematical Programming. 1-36 |

Roosta-Khorasani F, Mahoney MW. (2019) Sub-sampled Newton methods Mathematical Programming. 174: 293-326 |

Fountoulakis K, Roosta-Khorasani F, Shun J, et al. (2019) Variational perspective on local graph clustering Mathematical Programming. 174: 553-573 |

Drineas P, Mahoney MW. (2016) RandNLA: Randomized numerical linear algebra Communications of the Acm. 59: 80-90 |

Yang J, Rübel O, Prabhat, et al. (2015) Identifying important ions and positions in mass spectrometry imaging data using CUR matrix decompositions. Analytical Chemistry. 87: 4658-66 |

Yang J, Meng X, Mahoney MW. (2014) Quantile regression for large-scale applications Siam Journal On Scientific Computing. 36: S78-S110 |

Bodor A, Csabai I, Mahoney MW, et al. (2012) rCUR: an R package for CUR matrix decomposition. Bmc Bioinformatics. 13: 103 |

Mahoney MW. (2011) Computation in large-scale scientific and internet data applications is a focus of MMDS 2010 Sigkdd Explorations. 12: 59-62 |

Drineas P, Mahoney MW, Muthukrishnan S, et al. (2011) Faster least squares approximation Numerische Mathematik. 117: 219-249 |