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Modified Causal Forests for Estimating Heterogeneous Causal Effects
22 December 2018
M. Lechner
CML
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Papers citing
"Modified Causal Forests for Estimating Heterogeneous Causal Effects"
6 / 6 papers shown
Title
Double Machine Learning for Static Panel Models with Fixed Effects
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Annalivia Polselli
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TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling
Zexu Sun
Xu Chen
60
3
0
24 Jan 2024
Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability
Patrick Rehill
Nicholas Biddle
CML
ELM
81
4
0
20 Oct 2023
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance
Gabriel Okasa
CML
55
6
0
30 Jan 2022
Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium
Bart Cockx
Michael Lechner
Joost Boolens
CML
71
110
0
30 Dec 2019
Response Transformation and Profit Decomposition for Revenue Uplift Modeling
R. M. Gubela
Stefan Lessmann
S. Jaroszewicz
OffRL
62
51
0
20 Nov 2019
1