Counterfactual Fairness M Kusner, J Loftus, C Russell, R Silva Advances in Neural Information Processing Systems (NIPS 2017) 30, 4066-4076, 2017 | 665 | 2017 |

Learning the structure of linear latent variable models R Silva, R Scheines, C Glymour, P Spirtes Journal of Machine Learning Research 7 (Feb), 191-246, 2006 | 196 | 2006 |

When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness C Russell, MJ Kusner, J Loftus, R Silva Advances in Neural Information Processing Systems 30, 6417-6426, 2017 | 94 | 2017 |

Probabilistic workflow mining R Silva, J Zhang, JG Shanahan Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 86 | 2005 |

Global determinants of navigation ability A Coutrot, R Silva, E Manley, W de Cothi, S Sami, VD Bohbot, JM Wiener, ... Current Biology 28 (17), 2861-2866. e4, 2018 | 83 | 2018 |

Predicting traffic volumes and estimating the effects of shocks in massive transportation systems R Silva, SM Kang, EM Airoldi Proceedings of the National Academy of Sciences 112 (18), 5643-5648, 2015 | 75 | 2015 |

The hidden life of latent variables: Bayesian learning with mixed graph models R Silva, Z Ghahramani The Journal of Machine Learning Research 10, 1187-1238, 2009 | 59 | 2009 |

Causal reasoning for algorithmic fairness JR Loftus, C Russell, MJ Kusner, R Silva arXiv preprint arXiv:1805.05859, 2018 | 58 | 2018 |

Method and apparatus for probabilistic workflow mining J Shanahan, R Silva, J Zhang US Patent App. 11/506,844, 2007 | 41 | 2007 |

Bayesian semi-supervised learning with graph gaussian processes YC Ng, N Colombo, R Silva Proceedings of the 32nd International Conference on Neural Information …, 2018 | 35 | 2018 |

Hidden common cause relations in relational learning R Silva, W Chu, Z Ghahramani Advances in neural information processing systems 20, 1345-1352, 2007 | 34 | 2007 |

Learning measurement models for unobserved variables R Silva, R Scheines, C Glymour, PL Spirtes Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002 | 28* | 2002 |

The Sensitivity of Counterfactual Fairness to Unmeasured Confounding N Kilbertus, PJ Ball, MJ Kusner, A Weller, R Silva Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence, 2019 | 25 | 2019 |

Making Decisions that Reduce Discriminatory Impacts M Kusner, C Russell, J Loftus, R Silva Proceedings of the 36th International Conference on Machine Learning, 3591-3600, 2019 | 24* | 2019 |

Analogical reasoning with relational Bayesian sets R Silva, KA Heller, Z Ghahramani Artificial Intelligence and Statistics, 500-507, 2007 | 22 | 2007 |

Alpha-beta divergence for variational inference JB Regli, R Silva arXiv preprint arXiv:1805.01045, 2018 | 20 | 2018 |

Generalized measurement models R Silva, R Scheines CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2005 | 20 | 2005 |

MCMC methods for Bayesian mixtures of copulas R Silva, R Gramacy Artificial Intelligence and Statistics, 512-519, 2009 | 19 | 2009 |

Mixed cumulative distribution networks R Silva, C Blundell, YW Teh Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 17 | 2011 |

Data filtering for automatic classification of rocks from reflectance spectra J Moody, R Silva, J Vanderwaart Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 17* | 2001 |