| Counterfactual fairness MJ Kusner, J Loftus, C Russell, R Silva Advances in neural information processing systems 30, 2017 | 2040 | 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 | 212 | 2017 |
| Causal reasoning for algorithmic fairness JR Loftus, C Russell, MJ Kusner, R Silva arXiv preprint arXiv:1805.05859, 2018 | 165 | 2018 |
| The long road to fairer algorithms MJ Kusner, JR Loftus Nature 578 (7793), 34-36, 2020 | 97 | 2020 |
| 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 | 90 | 2017 |
| A significance test for forward stepwise model selection JR Loftus, JE Taylor arXiv preprint arXiv:1405.3920, 2014 | 69 | 2014 |
| Causal Intersectionality and Fair Ranking K Yang, JR Loftus, J Stoyanovich 2nd Symposium on Foundations of Responsible Computing 192, 7:1--7:20, 2021 | 65 | 2021 |
| selectiveInference: tools for post-selection inference R Tibshirani, R Tibshirani, J Taylor, J Loftus, S Reid, J Markovic R package version 1 (4), 2017 | 64* | 2017 |
| Making decisions that reduce discriminatory impacts M Kusner, C Russell, J Loftus, R Silva International Conference on Machine Learning, 3591-3600, 2019 | 58* | 2019 |
| Inference in adaptive regression via the Kac–Rice formula JE Taylor, JR Loftus, RJ Tibshirani | 58* | 2016 |
| Selective inference with unknown variance via the square-root lasso X Tian, JR Loftus, JE Taylor Biometrika 105 (4), 755-768, 2018 | 52 | 2018 |
| Selective inference in regression models with groups of variables JR Loftus, JE Taylor arXiv preprint arXiv:1511.01478, 2015 | 48 | 2015 |
| 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 Proceedings of the 1st ACM Conference on Equity and Access in Algorithms …, 2021 | 10 | 2021 |
| Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy L Rosenblatt, B Herman, A Holovenko, W Lee, J Loftus, E McKinnie, ... ACM SIGMOD Record 53 (1), 65-74, 2024 | 9 | 2024 |
| Counterfactuals for the Future LEJ Bynum, JR Loftus, J Stoyanovich Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14144 …, 2023 | 7 | 2023 |
| Causal dependence plots for interpretable machine learning JR Loftus, LEJ Bynum, S Hansen 9th Causal Inference Workshop at UAI 2024, 2023 | 4 | 2023 |
| A New Paradigm for Counterfactual Reasoning in Fairness and Recourse LEJ Bynum, JR Loftus, J Stoyanovich arXiv preprint arXiv:2401.13935, 2024 | 2 | 2024 |
| Model-agnostic auditing: a lost cause? S Hansen, J Loftus CEUR Workshop Proceedings 3442, 2023 | 2 | 2023 |
| Fairness: plurality, causality, and insurability M Fahrenwaldt, C Furrer, ME Hiabu, F Huang, FH Jørgensen, M Lindholm, ... European Actuarial Journal, 1-12, 2024 | | 2024 |
Matt J. KusnerUniversity College LondonVerified email at ucl.ac.uk
