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Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit
  Performance

Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance

30 January 2022
Gabriel Okasa
    CML
ArXivPDFHTML

Papers citing "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance"

3 / 3 papers shown
Title
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
210
719
0
12 May 2016
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
139
2,711
0
18 Nov 2015
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,729
0
18 Aug 2015
1