| Counterfactual Fairness M Kusner, J Loftus, C Russell, R Silva Advances in Neural Information Processing Systems (NIPS 2017) 30, 4066-4076, 2017 | 2125 | 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 | 305 | 2006 |
| 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 | 233 | 2018 |
| 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 | 215 | 2017 |
| Causal reasoning for algorithmic fairness JR Loftus, C Russell, MJ Kusner, R Silva arXiv preprint arXiv:1805.05859, 2018 | 168 | 2018 |
| Causal machine learning: A survey and open problems J Kaddour, A Lynch, Q Liu, MJ Kusner, R Silva arXiv preprint arXiv:2206.15475, 2022 | 157 | 2022 |
| 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 | 121 | 2015 |
| Bayesian semi-supervised learning with graph Gaussian processes YC Ng, N Colombo, R Silva Proceedings of the 32nd International Conference on Neural Information …, 2018 | 109 | 2018 |
| Probabilistic workflow mining R Silva, J Zhang, JG Shanahan Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 90 | 2005 |
| When Do Flat Minima Optimizers Work? J Kaddour, L Liu, R Silva, M Kusner Advances in Neural Information Processing Systems, 2022 | 73 | 2022 |
| Proximal causal learning with kernels: Two-stage estimation and moment restriction A Mastouri, Y Zhu, L Gultchin, A Korba, R Silva, MJ Kusner, A Gretton, ... Proceedings of the 38th International Conference on Machine Learning, 7512-7523, 2021 | 73 | 2021 |
| How the weather affects the pain of citizen scientists using a smartphone app npj Digital Medicine 2 (105), 2019 | 69 | 2019 |
| 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 | 69 | 2009 |
| 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 | 67 | 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 | 58* | 2019 |
| Method and apparatus for probabilistic workflow mining J Shanahan, R Silva, J Zhang US Patent App. 11/506,844, 2007 | 52 | 2007 |
| Neural likelihoods via cumulative distribution functions P Chilinski, R Silva Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence …, 2020 | 48 | 2020 |
| Causal Effect Inference for Structured Treatments J Kaddour, Y Zhu, Q Liu, MJ Kusner, R Silva Advances in Neural Information Processing Systems 34, 2021 | 47 | 2021 |
| A Class of Algorithms for General Instrumental Variable Models N Kilbertus, MJ Kusner, R Silva Advances in Neural Information Processing Systems (NeurIPS 2020) 33, 20108-20119, 2020 | 44 | 2020 |
| Alpha-beta divergence for variational inference JB Regli, R Silva arXiv preprint arXiv:1805.01045, 2018 | 43 | 2018 |