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Stable discovery of interpretable subgroups via calibration in causal
  studies

Stable discovery of interpretable subgroups via calibration in causal studies

23 August 2020
Raaz Dwivedi
Yan Shuo Tan
Briton Park
Mian Wei
Kevin Horgan
D. Madigan
Bin Yu
    CML
ArXivPDFHTML

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

7 / 7 papers shown
Title
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
Abhineet Agarwal
Michael Xiao
Rebecca L. Barter
Omer Ronen
Boyu Fan
Bin Yu
34
0
0
13 May 2025
Causal Q-Aggregation for CATE Model Selection
Causal Q-Aggregation for CATE Model Selection
Hui Lan
Vasilis Syrgkanis
CML
42
4
0
25 Oct 2023
Causal isotonic calibration for heterogeneous treatment effects
Causal isotonic calibration for heterogeneous treatment effects
L. Laan
Ernesto Ulloa-Pérez
M. Carone
Alexander Luedtke
29
11
0
27 Feb 2023
Quantitative probing: Validating causal models using quantitative domain
  knowledge
Quantitative probing: Validating causal models using quantitative domain knowledge
Daniel Grünbaum
M. L. Stern
E. Lang
20
5
0
07 Sep 2022
Valid Inference after Causal Discovery
Valid Inference after Causal Discovery
Paula Gradu
Tijana Zrnic
Yixin Wang
Michael I. Jordan
CML
26
8
0
11 Aug 2022
Interpretable Personalized Experimentation
Interpretable Personalized Experimentation
Han Wu
S. Tan
Weiwei Li
Mia Garrard
Adam Obeng
Drew Dimmery
Shaun Singh
Hanson Wang
Daniel R. Jiang
E. Bakshy
30
5
0
05 Nov 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal
  Assumptions
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
Amit Sharma
Vasilis Syrgkanis
Cheng Zhang
Emre Kıcıman
24
26
0
27 Aug 2021
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