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DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in Python

DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python

7 April 2021
Philipp Bach
Victor Chernozhukov
Malte S. Kurz
Martin Spindler
    VLM
    GP
ArXivPDFHTML

Papers citing "DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python"

7 / 7 papers shown
Title
Forests for Differences: Robust Causal Inference Beyond Parametric DiD
Forests for Differences: Robust Causal Inference Beyond Parametric DiD
Hugo Gobato Souto
Francisco Louzada Neto
16
0
0
14 May 2025
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
Jan Rabenseifner
Jan Teichert-Kluge
Philipp Bach
Victor Chernozhukov
Martin Spindler
Suhas Vijaykumar
BDL
CML
18
6
0
01 Feb 2024
HiPart: Hierarchical Divisive Clustering Toolbox
HiPart: Hierarchical Divisive Clustering Toolbox
Panagiotis Anagnostou
S. Tasoulis
V. Plagianakos
D. Tasoulis
40
1
0
18 Sep 2022
Statistical Testing under Distributional Shifts
Statistical Testing under Distributional Shifts
Nikolaj Thams
Sorawit Saengkyongam
Niklas Pfister
J. Peters
OOD
67
9
0
22 May 2021
DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in R
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R
Philipp Bach
Victor Chernozhukov
Malte S. Kurz
Martin Spindler
Jan Rabenseifner
GP
31
33
0
17 Mar 2021
Necessary and sufficient graphical conditions for optimal adjustment
  sets in causal graphical models with hidden variables
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
Jakob Runge
CML
4
25
0
20 Feb 2021
Double Reinforcement Learning for Efficient Off-Policy Evaluation in
  Markov Decision Processes
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus
Masatoshi Uehara
OffRL
38
183
0
22 Aug 2019
1