Sparse inverse covariance matrix estimation using quadratic approximation CJ Hsieh, I Dhillon, P Ravikumar, M Sustik Advances in neural information processing systems 24, 2011 | 424 | 2011 |

Low-Rank Kernel Learning with Bregman Matrix Divergences. B Kulis, MA Sustik, IS Dhillon Journal of Machine Learning Research 10 (2), 2009 | 301 | 2009 |

On the existence of equiangular tight frames MA Sustik, JA Tropp, IS Dhillon, RW Heath Jr Linear Algebra and its applications 426 (2-3), 619-635, 2007 | 300 | 2007 |

Learning low-rank kernel matrices B Kulis, M Sustik, I Dhillon Proceedings of the 23rd international conference on Machine learning, 505-512, 2006 | 238 | 2006 |

BIG & QUIC: Sparse inverse covariance estimation for a million variables CJ Hsieh, MA Sustik, IS Dhillon, PK Ravikumar, R Poldrack Advances in neural information processing systems 26, 2013 | 230 | 2013 |

QUIC: quadratic approximation for sparse inverse covariance estimation. CJ Hsieh, MA Sustik, IS Dhillon, P Ravikumar J. Mach. Learn. Res. 15 (1), 2911-2947, 2014 | 229 | 2014 |

Generalized finite algorithms for constructing Hermitian matrices with prescribed diagonal and spectrum IS Dhillon, RW Heath Jr, MA Sustik, JA Tropp SIAM Journal on Matrix Analysis and Applications 27 (1), 61-71, 2005 | 68 | 2005 |

GLASSOFAST: an efficient GLASSO implementation MA Sustik, B Calderhead UTCS Technical Report TR-12-29 2012, 2012 | 23 | 2012 |

String searching over small alphabets MA Sustik, JS Moore Computer Science Department, University of Texas at Austin, 2007 | 14 | 2007 |

Proof of Dickson’s Lemma using the ACL2 theorem prover via an explicit ordinal mapping M Sustik Unpublished presentation at the Fourth International Workshop on the ACL2 …, 2003 | 13 | 2003 |

Sparse approximate manifolds for differential geometric mcmc B Calderhead, M Sustik Advances in neural information processing systems 25, 2012 | 12 | 2012 |

Robust partitioning for hardware-accelerated functional verification MD Moffitt, MA Sustik, PG Villarrubia Proceedings of the 48th Design Automation Conference, 854-859, 2011 | 8 | 2011 |

Big Data M Zhang, Y Lin, Z Song, I Dhillon, H Yu, C Hsieh, Q Lei, I Yen, C Wu, ... Machine Learning at American Airlines Tech. Ops. Proceedings of Agifors …, 2018 | 6 | 2018 |

Elasticity Based Demand Forecasting and Price Optimization for Online Retail C Liu, MA Sustik arXiv preprint arXiv:2106.08274, 2021 | 1 | 2021 |

Sparse inverse covariance matrix estimation using quadratic approximation. IS Dhillon, CJ Hsieh, MA Sustik, P Ravikumar MLSLP, 2012 | 1 | 2012 |

On a Zero-Finding Problem Involving the Matrix Exponential MA Sustik, IS Dhillon SIAM Journal on Matrix Analysis and Applications 33 (4), 1237-1249, 2012 | 1 | 2012 |

Automatic performance model synthesis from hardware verification models RH Bell Jr, M Sustik, DW Cummings, JR Jackson Proceedings of the 2nd ACM/SPEC International Conference on Performance …, 2011 | | 2011 |

Package ‘glassoFast’ MA Sustik, B Calderhead, J Clavel, MJ Clavel | | |

Inverse Eigenvalue Problems in Wireless Communications IS Dhillon, RW Heath Jr, M Sustik, JA Tropp, T Strohmer | | |

Formalization and Proof of Dixon’s Lemma Using the ACL2 Theorem Prover M Sustik | | |