bibliography.bib

@article{rudin2019stop,
  title={Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead},
  author={Rudin, Cynthia},
  journal={Nature Machine Intelligence},
  volume={1},
  number={5},
  pages={206--215},
  year={2019},
  publisher={Nature Publishing Group}
}

@article{matsui2001np,
  title={NP-completeness for calculating power indices of weighted majority games},
  author={Matsui, Yasuko and Matsui, Tomomi},
  journal={Theoretical Computer Science},
  volume={263},
  number={1-2},
  pages={305--310},
  year={2001},
  publisher={Elsevier}
}

@article{lundberg2020local,
  title={From local explanations to global understanding with explainable AI for trees},
  author={Lundberg, Scott M and Erion, Gabriel and Chen, Hugh and DeGrave, Alex and Prutkin, Jordan M and Nair, Bala and Katz, Ronit and Himmelfarb, Jonathan and Bansal, Nisha and Lee, Su-In},
  journal={Nature machine intelligence},
  volume={2},
  number={1},
  pages={56--67},
  year={2020}
}

@article{schervish1996p,
  title={P values: what they are and what they are not},
  author={Schervish, Mark J},
  journal={The American Statistician},
  volume={50},
  number={3},
  pages={203--206},
  year={1996},
  publisher={Taylor \& Francis}
}

@article{young1985monotonic,
  title={Monotonic solutions of cooperative games},
  author={Young, H Peyton},
  journal={International Journal of Game Theory},
  volume={14},
  number={2},
  pages={65--72},
  year={1985},
  publisher={Springer}
}

@inproceedings{lundberg2017unified,
  title={A unified approach to interpreting model predictions},
  author={Lundberg, Scott M and Lee, Su-In},
  booktitle={Advances in neural information processing systems},
  pages={4765--4774},
  year={2017}
}

@book{pearl2009causality,
  title={Causality},
  author={Pearl, Judea},
  year={2009},
  publisher={Cambridge university press}
}

@article{janzing2019feature,
  title={Feature relevance quantification in explainable AI: A causality problem},
  author={Janzing, Dominik and Minorics, Lenon and Bl{\"o}baum, Patrick},
  journal={arXiv preprint arXiv:1910.13413},
  year={2019}
}

@article{sundararajan2019many,
  title={The many Shapley values for model explanation},
  author={Sundararajan, Mukund and Najmi, Amir},
  journal={arXiv preprint arXiv:1908.08474},
  year={2019}
}

@article{chen2019explaining,
  title={Explaining Models by Propagating Shapley Values of Local Components},
  author={Chen, Hugh and Lundberg, Scott and Lee, Su-In},
  journal={arXiv preprint arXiv:1911.11888},
  year={2019}
}

@article{kononenko2010efficient,
  title={An efficient explanation of individual classifications using game theory},
  author={Kononenko, Igor and others},
  journal={Journal of Machine Learning Research},
  volume={11},
  number={Jan},
  pages={1--18},
  year={2010}
}

@inproceedings{ribeiro2016should,
  title={" Why should i trust you?" Explaining the predictions of any classifier},
  author={Ribeiro, Marco Tulio and Singh, Sameer and Guestrin, Carlos},
  booktitle={Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining},
  pages={1135--1144},
  year={2016}
}

@inproceedings{sundararajan2017axiomatic,
  title={Axiomatic attribution for deep networks},
  author={Sundararajan, Mukund and Taly, Ankur and Yan, Qiqi},
  booktitle={Proceedings of the 34th International Conference on Machine Learning-Volume 70},
  pages={3319--3328},
  year={2017},
  organization={JMLR. org}
}

@inproceedings{shrikumar2017learning,
  title={Learning important features through propagating activation differences},
  author={Shrikumar, Avanti and Greenside, Peyton and Kundaje, Anshul},
  booktitle={Proceedings of the 34th International Conference on Machine Learning-Volume 70},
  pages={3145--3153},
  year={2017},
  organization={JMLR. org}
}

@article{sturmfels2020visualizing,
  title={Visualizing the Impact of Feature Attribution Baselines},
  author={Sturmfels, Pascal and Lundberg, Scott and Lee, Su-In},
  journal={Distill},
  volume={5},
  number={1},
  pages={e22},
  year={2020}
}

@inproceedings{fong2017interpretable,
  title={Interpretable explanations of black boxes by meaningful perturbation},
  author={Fong, Ruth C and Vedaldi, Andrea},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={3429--3437},
  year={2017}
}

@misc{andosa_2019, 
  title={andosa/treeinterpreter}, 
  url={https://github.com/andosa/treeinterpreter}, 
  journal={GitHub}, 
  author={Saabas, Ando}
}

@misc{breiman_1984, 
  title={Classification and regression trees}, 
  journal={CRC press}, 
  author={Breiman, Leo and Friedman, Jerome and Stone, Charles J. and Olshen, R.A.},
  year={1984}
}

@article{louppe2014understanding,
  title={Understanding random forests: From theory to practice},
  author={Louppe, Gilles},
  journal={arXiv preprint arXiv:1407.7502},
  year={2014}
}