Causal Rule Ensemble: Interpretable Discovery and Inference of
Heterogeneous Treatment Effects

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Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects

18 September 2020

Falco J. Bargagli-Stoffi

Francesca Dominici

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Papers citing "Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects"

7 / 7 papers shown

Title
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 90 16 0 16 Jun 2022
Stable discovery of interpretable subgroups via calibration in causal studies Raaz Dwivedi Yan Shuo Tan Briton Park Mian Wei Kevin Horgan D. Madigan Bin Yu CML 42 30 0 23 Aug 2020
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition Vincent Dorie J. Hill Uri Shalit M. Scott D. Cervone CML 193 288 0 09 Jul 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 252 4,281 0 22 Jun 2017
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 339 1,371 0 05 Oct 2016
Interpreting Tree Ensembles with inTrees Houtao Deng 103 246 0 23 Aug 2014
BART: Bayesian additive regression trees H. Chipman E. George R. McCulloch 158 1,796 0 19 Jun 2008

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