| Counterfactual fairness MJ Kusner, J Loftus, C Russell, R Silva Advances in neural information processing systems 30, 2017 | 1229 | 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 | 148 | 2017 |
| Causal reasoning for algorithmic fairness JR Loftus, C Russell, MJ Kusner, R Silva arXiv preprint arXiv:1805.05859, 2018 | 110 | 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 | 81 | 2017 |
| The long road to fairer algorithms MJ Kusner, JR Loftus Nature 578 (7793), 34-36, 2020 | 62 | 2020 |
| A significance test for forward stepwise model selection JR Loftus, JE Taylor arXiv preprint arXiv:1405.3920, 2014 | 60 | 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 | 58* | 2017 |
| Inference in adaptive regression via the Kac–Rice formula JE Taylor, JR Loftus, RJ Tibshirani | 58* | 2016 |
| Selective inference in regression models with groups of variables JR Loftus, JE Taylor arXiv preprint arXiv:1511.01478, 2015 | 44 | 2015 |
| Making decisions that reduce discriminatory impacts M Kusner, C Russell, J Loftus, R Silva International Conference on Machine Learning, 3591-3600, 2019 | 37* | 2019 |
| Selective inference with unknown variance via the square-root lasso X Tian, JR Loftus, JE Taylor Biometrika 105 (4), 755-768, 2018 | 36 | 2018 |
| Causal Intersectionality and Fair Ranking K Yang, JR Loftus, J Stoyanovich 2nd Symposium on Foundations of Responsible Computing 192, 7:1--7:20, 2021 | 30 | 2021 |
| Selective inference after cross-validation JR Loftus arXiv preprint arXiv:1511.08866, 2015 | 23 | 2015 |
| Disaggregated interventions to reduce inequality L Bynum, J Loftus, J Stoyanovich Equity and Access in Algorithms, Mechanisms, and Optimization, 1-13, 2021 | 3 | 2021 |
| Counterfactuals for the Future LEJ Bynum, JR Loftus, J Stoyanovich arXiv preprint arXiv:2212.03974, 2022 | | 2022 |
| Landscape of monoallelic DNA accessibility in mouse embryonic stem cells and neural progenitor cells (vol 49, pg 377, 2017) J Xu, AC Carter, AV Gendrel, M Attia, J Loftus, WJ Greenleaf, R Tibshirani, ... NATURE GENETICS 49 (6), 970-970, 2017 | | 2017 |
| Post-selection inference for models characterized by quadratic constraints JR Loftus Stanford University, 2016 | | 2016 |
Matt J. KusnerAssociate Professor, University College LondonVerified email at ucl.ac.uk
