Stable discovery of interpretable subgroups via calibration in causal
studies

v1v2 (latest)

Stable discovery of interpretable subgroups via calibration in causal studies

23 August 2020

ArXiv (abs)PDF HTML

Papers citing "Stable discovery of interpretable subgroups via calibration in causal studies"

11 / 11 papers shown

Title
M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model Xingyu Li Qing Liu Tony Jiang Hong Amy Xia Brian P. Hobbs Peng Wei 45 0 0 23 May 2025
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework Abhineet Agarwal Michael Xiao Rebecca L. Barter Omer Ronen Boyu Fan Bin Yu 69 0 0 13 May 2025
Hierarchical and Density-based Causal Clustering Kwangho Kim Jisu Kim Larry A. Wasserman Edward H. Kennedy CML 95 0 0 02 Nov 2024
Causal Q-Aggregation for CATE Model Selection Hui Lan Vasilis Syrgkanis CML 107 4 0 25 Oct 2023
Causal isotonic calibration for heterogeneous treatment effects L. Laan Ernesto Ulloa-Pérez M. Carone Alexander Luedtke 90 12 0 27 Feb 2023
Quantitative probing: Validating causal models using quantitative domain knowledge Daniel Grünbaum M. L. Stern E. Lang 55 6 0 07 Sep 2022
Valid Inference after Causal Discovery Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan CML 81 8 0 11 Aug 2022
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments Kosuke Imai Michael Lingzhi Li CML 51 15 0 28 Mar 2022
Interpretable Personalized Experimentation Han Wu S. Tan Weiwei Li Mia Garrard Adam Obeng Drew Dimmery Shaun Singh Hanson Wang Daniel R. Jiang E. Bakshy 65 6 0 05 Nov 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions Amit Sharma Vasilis Syrgkanis Cheng Zhang Emre Kıcıman 75 26 0 27 Aug 2021
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects Falco J. Bargagli-Stoffi Riccardo Cadei Kwonsang Lee Francesca Dominici CML 58 16 0 18 Sep 2020