| Counterfactual fairness MJ Kusner, J Loftus, C Russell, R Silva Advances in neural information processing systems 30, 2017 | 1625 | 2017 |
| When worlds collide: integrating different counterfactual assumptions in fairness C Russell, MJ Kusner, J Loftus, R Silva Advances in neural information processing systems 30, 2017 | 181 | 2017 |
| Causal reasoning for algorithmic fairness JR Loftus, C Russell, MJ Kusner, R Silva arXiv preprint arXiv:1805.05859, 2018 | 129 | 2018 |
| Landscape of monoallelic DNA accessibility in mouse embryonic stem cells and neural progenitor cells J Xu, AC Carter, AV Gendrel, M Attia, J Loftus, WJ Greenleaf, R Tibshirani, ... Nature genetics 49 (3), 377-386, 2017 | 83 | 2017 |
| The long road to fairer algorithms MJ Kusner, JR Loftus Nature 578 (7793), 34-36, 2020 | 81 | 2020 |
| A significance test for forward stepwise model selection JR Loftus, JE Taylor arXiv preprint arXiv:1405.3920, 2014 | 65 | 2014 |
| selectiveInference: tools for post-selection inference R Tibshirani, R Tibshirani, J Taylor, J Loftus, S Reid, J Markovic R package version 1 (4), 2017 | 59* | 2017 |
| Inference in adaptive regression via the Kac-Rice formula JE Taylor, JR Loftus, RJ Tibshirani The Annals of Statistics, 743-770, 2016 | 57* | 2016 |
| Causal Intersectionality and Fair Ranking K Yang, JR Loftus, J Stoyanovich 2nd Symposium on Foundations of Responsible Computing 192, 7:1--7:20, 2021 | 54 | 2021 |
| Making decisions that reduce discriminatory impacts M Kusner, C Russell, J Loftus, R Silva International Conference on Machine Learning, 3591-3600, 2019 | 50* | 2019 |
| Selective inference in regression models with groups of variables JR Loftus, JE Taylor arXiv preprint arXiv:1511.01478, 2015 | 46 | 2015 |
| Selective inference with unknown variance via the square-root lasso X Tian, JR Loftus, JE Taylor Biometrika 105 (4), 755-768, 2018 | 45 | 2018 |
| Selective inference after cross-validation JR Loftus arXiv preprint arXiv:1511.08866, 2015 | 24 | 2015 |
| Disaggregated interventions to reduce inequality L Bynum, J Loftus, J Stoyanovich Equity and Access in Algorithms, Mechanisms, and Optimization, 1-13, 2021 | 7 | 2021 |
| Counterfactuals for the Future LEJ Bynum, JR Loftus, J Stoyanovich Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14144 …, 2023 | 4 | 2023 |
| Causal Dependence Plots for Interpretable Machine Learning JR Loftus, LEJ Bynum, S Hansen arXiv preprint arXiv:2303.04209, 2023 | 2 | 2023 |
| Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy L Rosenblatt, A Holovenko, T Rumezhak, A Stadnik, B Herman, ... arXiv preprint arXiv:2208.12700, 2022 | 2 | 2022 |
| Model-agnostic auditing: a lost cause? S Hansen, J Loftus CEUR Workshop Proceedings 3442, 2023 | | 2023 |
| It’s About Time: Counterfactual Fairness and Temporal Depth JR Loftus CEUR Workshop Proceedings 3442, 2023 | | 2023 |
| Post-selection inference for models characterized by quadratic constraints JR Loftus Stanford University, 2016 | | 2016 |
Matt J. KusnerUniversity College LondonVerified email at ucl.ac.uk
