references.bib

% Encoding: UTF-8
% Try to keep this list in alphabetical order based on citing name

% Conditional Testing

@article{cressieread1984,
  issn      = {00359246},
  url       = {http://www.jstor.org/stable/2345686},
  author    = {Noel Cressie and Timothy R. C. Read},
  journal   = {Journal of the Royal Statistical Society. Series B (Methodological)},
  number    = {3},
  pages     = {440--464},
  publisher = {[Royal Statistical Society, Wiley]},
  title     = {Multinomial Goodness-of-Fit Tests},
  urldate   = {2023-03-16},
  volume    = {46},
  year      = {1984}
}

@article{frenzel_partial_2007,
  title    = {Partial {Mutual} {Information} for {Coupling} {Analysis} of {Multivariate} {Time} {Series}},
  volume   = {99},
  doi      = {10.1103/PhysRevLett.99.204101},
  journal  = {Physical review letters},
  author   = {Frenzel, Stefan and Pompe, Bernd},
  month    = dec,
  year     = {2007},
  pages    = {204101},
  file     = {Full Text PDF:/Users/adam2392/Zotero/storage/8ICFXVZG/Frenzel and Pompe - 2007 - Partial Mutual Information for Coupling Analysis o.pdf:application/pdf}
}

@article{kraskov_estimating_2004,
  title    = {Estimating mutual information},
  volume   = {69},
  url      = {https://link.aps.org/doi/10.1103/PhysRevE.69.066138},
  doi      = {10.1103/PhysRevE.69.066138},
  number   = {6},
  urldate  = {2023-01-27},
  journal  = {Physical Review E},
  author   = {Kraskov, Alexander and Stögbauer, Harald and Grassberger, Peter},
  month    = jun,
  year     = {2004},
  note     = {Publisher: American Physical Society},
  pages    = {066138},
  file     = {APS Snapshot:/Users/adam2392/Zotero/storage/GRW23BYU/PhysRevE.69.html:text/html;Full Text PDF:/Users/adam2392/Zotero/storage/NJT9QCVA/Kraskov et al. - 2004 - Estimating mutual information.pdf:application/pdf}
}

@article{Lopez2016revisiting,
  title   = {Revisiting classifier two-sample tests},
  author  = {Lopez-Paz, David and Oquab, Maxime},
  journal = {arXiv preprint arXiv:1610.06545},
  year    = {2016}
}

@inproceedings{Mukherjee2020ccmi,
  title        = {CCMI: Classifier based conditional mutual information estimation},
  author       = {Mukherjee, Sudipto and Asnani, Himanshu and Kannan, Sreeram},
  booktitle    = {Uncertainty in artificial intelligence},
  pages        = {1083--1093},
  year         = {2020},
  organization = {PMLR}
}

@inproceedings{Park2021conditional,
  title        = {Conditional distributional treatment effect with kernel conditional mean embeddings and U-statistic regression},
  author       = {Park, Junhyung and Shalit, Uri and Sch{\"o}lkopf, Bernhard and Muandet, Krikamol},
  booktitle    = {International Conference on Machine Learning},
  pages        = {8401--8412},
  year         = {2021},
  organization = {PMLR}
}

@article{peters2016causal,
  title={Causal inference by using invariant prediction: identification and confidence intervals},
  author={Peters, Jonas and B{\"u}hlmann, Peter and Meinshausen, Nicolai},
  journal={Journal of the Royal Statistical Society Series B: Statistical Methodology},
  volume={78},
  number={5},
  pages={947--1012},
  year={2016},
  publisher={Oxford University Press}
}

@article{shah2018goodness,
  title={Goodness-of-fit tests for high dimensional linear models},
  author={Shah, Rajen D and B{\"u}hlmann, Peter},
  journal={Journal of the Royal Statistical Society Series B: Statistical Methodology},
  volume={80},
  number={1},
  pages={113--135},
  year={2018},
  publisher={Oxford University Press}
}

@inproceedings{Runge2018cmi,
  title     = {Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information},
  author    = {Runge, Jakob},
  booktitle = {Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics},
  pages     = {938--947},
  year      = {2018},
  editor    = {Storkey, Amos and Perez-Cruz, Fernando},
  volume    = {84},
  series    = {Proceedings of Machine Learning Research},
  month     = {09--11 Apr},
  publisher = {PMLR},
  pdf       = {http://proceedings.mlr.press/v84/runge18a/runge18a.pdf},
  url       = {https://proceedings.mlr.press/v84/runge18a.html}
}

@article{Sen2017model,
  title   = {Model-powered conditional independence test},
  author  = {Sen, Rajat and Suresh, Ananda Theertha and Shanmugam, Karthikeyan and Dimakis, Alexandros G and Shakkottai, Sanjay},
  journal = {Advances in neural information processing systems},
  volume  = {30},
  year    = {2017}
}

@inproceedings{Yu2020Bregman,
  title     = {Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications},
  author    = {Yu, Shujian and Shaker, Ammar and Alesiani, Francesco and Principe, Jose},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI-20}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Christian Bessiere},
  pages     = {2777--2784},
  year      = {2020},
  month     = {7},
  note      = {Main track},
  doi       = {10.24963/ijcai.2020/385},
  url       = {https://doi.org/10.24963/ijcai.2020/385}
}

@inproceedings{Zhang2011,
  author    = {Zhang, Kun and Peters, Jonas and Janzing, Dominik and Sch\"{o}lkopf, Bernhard},
  title     = {Kernel-Based Conditional Independence Test and Application in Causal Discovery},
  year      = {2011},
  isbn      = {9780974903972},
  publisher = {AUAI Press},
  address   = {Arlington, Virginia, USA},
  booktitle = {Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence},
  pages     = {804–813},
  numpages  = {10},
  location  = {Barcelona, Spain},
  series    = {UAI'11}
}

% Example refs

@article{sachsdataset2005,
  author   = {Karen Sachs  and Omar Perez  and Dana Pe'er  and Douglas A. Lauffenburger  and Garry P. Nolan },
  title    = {Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data},
  journal  = {Science},
  volume   = {308},
  number   = {5721},
  pages    = {523-529},
  year     = {2005},
  doi      = {10.1126/science.1105809},
  url      = {https://www.science.org/doi/abs/10.1126/science.1105809},
  eprint   = {https://www.science.org/doi/pdf/10.1126/science.1105809},
}