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Joshua Loftus
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Year
Counterfactual fairness
MJ Kusner, J Loftus, C Russell, R Silva
Advances in neural information processing systems 30, 2017
21352017
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
2172017
Causal reasoning for algorithmic fairness
JR Loftus, C Russell, MJ Kusner, R Silva
arXiv preprint arXiv:1805.05859, 2018
1692018
The long road to fairer algorithms
MJ Kusner, JR Loftus
Nature 578 (7793), 34-36, 2020
1022020
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
912017
A significance test for forward stepwise model selection
JR Loftus, JE Taylor
arXiv preprint arXiv:1405.3920, 2014
702014
Causal Intersectionality and Fair Ranking
K Yang, JR Loftus, J Stoyanovich
2nd Symposium on Foundations of Responsible Computing 192, 7:1--7:20, 2021
652021
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
Inference in adaptive regression via the Kac–Rice formula
JE Taylor, JR Loftus, RJ Tibshirani
59*2016
Making decisions that reduce discriminatory impacts
M Kusner, C Russell, J Loftus, R Silva
International Conference on Machine Learning, 3591-3600, 2019
58*2019
Selective inference with unknown variance via the square-root lasso
X Tian, JR Loftus, JE Taylor
Biometrika 105 (4), 755-768, 2018
532018
Selective inference in regression models with groups of variables
JR Loftus, JE Taylor
arXiv preprint arXiv:1511.01478, 2015
492015
Selective inference after cross-validation
JR Loftus
arXiv preprint arXiv:1511.08866, 2015
252015
Disaggregated interventions to reduce inequality
L Bynum, J Loftus, J Stoyanovich
Proceedings of the 1st ACM Conference on Equity and Access in Algorithms …, 2021
112021
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
102024
Counterfactuals for the Future
LEJ Bynum, JR Loftus, J Stoyanovich
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14144 …, 2023
92023
Causal dependence plots for interpretable machine learning
JR Loftus, LEJ Bynum, S Hansen
9th Causal Inference Workshop at UAI 2024, 2023
42023
Fairness: plurality, causality, and insurability
M Fahrenwaldt, C Furrer, ME Hiabu, F Huang, FH Jørgensen, M Lindholm, ...
European Actuarial Journal, 1-12, 2024
22024
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse
LEJ Bynum, JR Loftus, J Stoyanovich
arXiv preprint arXiv:2401.13935, 2024
22024
Model-agnostic auditing: a lost cause?
S Hansen, J Loftus
CEUR Workshop Proceedings 3442, 2023
22023
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Articles 1–20