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references.bib
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references.bib
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@inproceedings{saengkyongam2020learning,
title={Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders},
author={Saengkyongam, Sorawit and Silva, Ricardo},
booktitle={Conference on Uncertainty in Artificial Intelligence},
pages={300--309},
year={2020},
organization={PMLR}
}
@article{pearl2012robustness,
title={Robustness of causal claims},
author={Pearl, Judea},
journal={arXiv preprint arXiv:1207.4173},
year={2012}
}
@article{dawid2015statistical,
title={Statistical causality from a decision-theoretic perspective},
author={Dawid, A Philip},
journal={Annual Review of Statistics and Its Application},
volume={2},
pages={273--303},
year={2015},
publisher={Annual Reviews}
}
@misc{hernan2020causal,
title={Causal inference: what if},
author={Hern{\'a}n, Miguel A and Robins, James M},
year={2020},
publisher={Boca Raton: Chapman \& Hall/CRC}
}
@book{pearl2009causality,
title={Causality},
author={Pearl, Judea},
year={2009},
publisher={Cambridge University Press}
}
@online{pearl2020,
author = "Judea Pearl",
year = "2020",
title = "Which Patients are in Greater Need: A counterfactual analysis with reflections on COVID-19",
url = "http://causality.cs.ucla.edu/blog/index.php/2020/04/02/which-patients-are-in-greater-need-a-counterfactual-analysis-with-reflections-on-covid-19/",
addendum = "(accessed: 13.09.2020)",
keywords = "pearl,covid"
}
@article{balke1994,
author = "Balke, Alexander and Pearl, Judea",
title = "Counterfactual Probabilities: Computational Methods, Bounds and Applications",
journal = "Proceedings of the Tenth international conference on Uncertainty in artificial intelligence",
year = "1994"
}
@inproceedings{wu2019pc,
title={Pc-fairness: A unified framework for measuring causality-based fairness},
author={Wu, Yongkai and Zhang, Lu and Wu, Xintao and Tong, Hanghang},
booktitle={Advances in Neural Information Processing Systems},
pages={3404--3414},
year={2019}
}
@article{pearl2013testability,
title={On the testability of causal models with latent and instrumental variables},
author={Pearl, Judea},
journal={arXiv preprint arXiv:1302.4976},
year={1995}
}
@article{kedagni2020generalized,
title={Generalized instrumental inequalities: testing the instrumental variable independence assumption},
author={K{\'e}dagni, D{\'e}sir{\'e} and Mourifi{\'e}, Ismael},
journal={Biometrika},
year={2020}
}
@article{byrne2017fluid,
title={Fluid resuscitation in human sepsis: Time to rewrite history?},
author={Byrne, Liam and Van Haren, Frank},
journal={Annals of intensive care},
volume={7},
number={1},
pages={1--8},
year={2017},
publisher={Springer}
}
@article{ramsahai2012causal,
title={Causal bounds and instruments},
author={Ramsahai, Roland R},
journal={arXiv preprint arXiv:1206.5262},
year={2012}
}
@article{richardson2014nonparametric,
title={Nonparametric bounds and sensitivity analysis of treatment effects},
author={Richardson, Amy and Hudgens, Michael G and Gilbert, Peter B and Fine, Jason P},
journal={Statistical science: a review journal of the Institute of Mathematical Statistics},
volume={29},
number={4},
pages={596},
year={2014},
publisher={NIH Public Access}
}
@article{manski1990nonparametric,
title={Nonparametric bounds on treatment effects},
author={Manski, Charles F},
journal={The American Economic Review},
volume={80},
number={2},
pages={319--323},
year={1990},
publisher={JSTOR}
}
@book{manski2003partial,
title={Partial identification of probability distributions},
author={Manski, Charles F},
year={2003},
publisher={Springer Science \& Business Media}
}
@article{robins1989analysis,
title={The analysis of randomized and non-randomized AIDS treatment trials using a new approach to causal inference in longitudinal studies},
author={Robins, James M},
journal={Health service research methodology: a focus on AIDS},
pages={113--159},
year={1989},
publisher={US Public Health Service, National Center for Health Services Research}
}
@article{swanson2018partial,
title={Partial identification of the average treatment effect using instrumental variables: review of methods for binary instruments, treatments, and outcomes},
author={Swanson, Sonja A and Hern{\'a}n, Miguel A and Miller, Matthew and Robins, James M and Richardson, Thomas S},
journal={Journal of the American Statistical Association},
volume={113},
number={522},
pages={933--947},
year={2018},
publisher={Taylor \& Francis}
}
@article{richardson2014nonparametric,
title={Nonparametric bounds and sensitivity analysis of treatment effects},
author={Richardson, Amy and Hudgens, Michael G and Gilbert, Peter B and Fine, Jason P},
journal={Statistical science: a review journal of the Institute of Mathematical Statistics},
volume={29},
number={4},
pages={596},
year={2014},
publisher={NIH Public Access}
}
@article{kilbertus2020class,
title={A Class of Algorithms for General Instrumental Variable Models},
author={Kilbertus, Niki and Kusner, Matt J and Silva, Ricardo},
journal={arXiv preprint arXiv:2006.06366},
year={2020}
}
@inproceedings{zhang2021bounding,
title={Bounding Causal Effects on Continuous Outcome},
author={Zhang, Junzhe and Bareinboim, Elias},
booktitle={Proceedings of the 35nd AAAI Conference on Artificial Intelligence},
year={2021}
}
@article{bareinboim2021nonparam,
title={Non-Parametric Methods for Partial Identification of Causal Effects},
author={Zhang, Junzhe and Bareinboim, Elias},
journal={https://causalai.net/r72.pdf},
year={2021}
}
@article{noam2020class,
title={Partial Identifiability in Discrete Data With Measurement Error},
author={Finkelstein, Noam},
journal={arXiv preprint arXiv:2006.06366},
year={2020}
}
@article{sachs2020symbolic,
title={Symbolic computation of tight causal bounds},
author={Sachs, Michael C and Gabriel, Erin E and Sj{\"o}lander, Arvid},
journal={arXiv preprint arXiv:2003.10702},
year={2020}
}
@inproceedings{wu2019pc,
title={PC-Fairness: A Unified Framework for Measuring Causality-based Fairness},
author={Wu, Yongkai and Zhang, Lu and Wu, Xintao and Tong, Hanghang},
booktitle={Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019},
year={2019}
}
@book{spirtes2000causation,
title={Causation, prediction, and search},
author={Spirtes, Peter and Glymour, Clark N and Scheines, Richard and Heckerman, David},
year={2000},
publisher={MIT press}
}
@article{silva2016causal,
title={Causal inference through a witness protection program},
author={Silva, Ricardo and Evans, Robin},
journal={Journal of Machine Learning Research},
volume={17},
year={2016},
publisher={Microtome Publishing}
}
@inproceedings{entner2013data,
title={Data-driven covariate selection for nonparametric estimation of causal effects},
author={Entner, Doris and Hoyer, Patrik and Spirtes, Peter},
booktitle={Artificial Intelligence and Statistics},
pages={256--264},
year={2013},
organization={PMLR}
}
@misc{gurobi, author = "Gurobi Optimization, LLC", title = "Gurobi Optimizer Reference Manual", year = 2021, url = "http://www.gurobi.com"}