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Feature Selection for Discovering Distributional Treatment Effect
  Modifiers
v1v2v3 (latest)

Feature Selection for Discovering Distributional Treatment Effect Modifiers

1 June 2022
Yoichi Chikahara
M. Yamada
H. Kashima
    CML
ArXiv (abs)PDFHTML

Papers citing "Feature Selection for Discovering Distributional Treatment Effect Modifiers"

4 / 4 papers shown
Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk
Stefan Feuerriegel
Mihaela van der Schaar
CML
272
5
0
05 Nov 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional
  Heterogeneous Treatment Effect Estimation
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
Yoichi Chikahara
Kansei Ushiyama
58
0
0
26 Apr 2024
Asymptotically Unbiased Synthetic Control Methods by Density Matching
Asymptotically Unbiased Synthetic Control Methods by Density Matching
Masahiro Kato
Akari Ohda
72
1
0
20 Jul 2023
Doubly Robust Kernel Statistics for Testing Distributional Treatment
  Effects
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects
Jake Fawkes
Robert Hu
R. Evans
Dino Sejdinovic
OOD
61
3
0
09 Dec 2022
1