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NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments


Mar 20, 2021
Sonali Parbhoo, Stefan Bauer, Patrick Schwab


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Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible


Jan 13, 2021
Melanie F. Pradier, Javier Zazo, Sonali Parbhoo, Roy H. Perlis, Maurizio Zazzi, Finale Doshi-Velez

* 10 pages, 5 figures, 4 tables, AMIA 2021 Virtual Informatics Summit 

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Real-time Prediction of COVID-19 related Mortality using Electronic Health Records


Aug 31, 2020
Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer


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Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions


Feb 14, 2020
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Anthony Celi, Emma Brunskill, Finale Doshi-Velez

* Change: Correction of typo in meta-data author names 

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Inverse Learning of Symmetry Transformations


Feb 07, 2020
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth


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Optimizing for Interpretability in Deep Neural Networks with Tree Regularization


Aug 14, 2019
Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez

* arXiv admin note: substantial text overlap with arXiv:1908.04494, arXiv:1711.06178 

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Regional Tree Regularization for Interpretability in Black Box Models


Aug 13, 2019
Mike Wu, Sonali Parbhoo, Michael Hughes, Ryan Kindle, Leo Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez


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Informed MCMC with Bayesian Neural Networks for Facial Image Analysis


Nov 29, 2018
Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter

* Accepted to the Bayesian Deep Learning Workshop at NeurIPS 2018 

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Estimating Causal Effects With Partial Covariates For Clinical Interpretability


Nov 26, 2018
Sonali Parbhoo, Mario Wieser, Volker Roth

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Cause-Effect Deep Information Bottleneck For Incomplete Covariates


Oct 08, 2018
Sonali Parbhoo, Mario Wieser, Volker Roth


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Beyond Sparsity: Tree Regularization of Deep Models for Interpretability


Nov 16, 2017
Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

* To appear in AAAI 2018. Contains 9-page main paper and appendix with supplementary material 

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Bayesian Markov Blanket Estimation


Oct 06, 2015
Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth

* 16 pages, 5 figures 

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