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DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in Python
v1v2 (latest)

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

Journal of machine learning research (JMLR), 2021
7 April 2021
Philipp Bach
Victor Chernozhukov
Malte S. Kurz
Martin Spindler
    VLMGP
ArXiv (abs)PDFHTMLGithub (594★)

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

15 / 15 papers shown
Adjustment for Confounding using Pre-Trained Representations
Adjustment for Confounding using Pre-Trained Representations
Rickmer Schulte
David Rügamer
Thomas Nagler
CMLBDL
331
3
0
17 Jun 2025
Forests for Differences: Robust Causal Inference Beyond Parametric DiD
Forests for Differences: Robust Causal Inference Beyond Parametric DiD
Hugo Gobato Souto
Francisco Louzada Neto
235
0
0
14 May 2025
Practical programming research of Linear DML model based on the simplest Python code: From the standpoint of novice researchers
Practical programming research of Linear DML model based on the simplest Python code: From the standpoint of novice researchers
Shunxin Yao
119
0
0
22 Feb 2025
Double Machine Learning for Adaptive Causal Representation in
  High-Dimensional Data
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
Lynda Aouar
Han Yu
CML
407
0
0
22 Nov 2024
Causal machine learning for predicting treatment outcomes
Causal machine learning for predicting treatment outcomesNature Network Boston (NNB), 2024
Stefan Feuerriegel
Dennis Frauen
Valentyn Melnychuk
Jonas Schweisthal
Konstantin Hess
Alicia Curth
Stefan Bauer
Niki Kilbertus
Isaac S. Kohane
Mihaela van der Schaar
CML
388
275
0
11 Oct 2024
Management Decisions in Manufacturing using Causal Machine Learning --
  To Rework, or not to Rework?
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
Philipp Schwarz
Oliver Schacht
Jan Rabenseifner
Daniel Grünbaum
Sebastian Imhof
Martin Spindler
CML
208
2
0
17 Jun 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments
  and Observational Data
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Miruna Oprescu
Nathan Kallus
CML
350
4
0
10 Jun 2024
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
BDLCML
275
11
0
01 Feb 2024
OpportunityFinder: A Framework for Automated Causal Inference
OpportunityFinder: A Framework for Automated Causal Inference
Huy Nguyen
Prince Grover
Devashish Khatwani
CML
182
1
0
22 Sep 2023
Causally Learning an Optimal Rework Policy
Causally Learning an Optimal Rework Policy
Oliver Schacht
Jan Rabenseifner
Philipp Schwarz
Martin Spindler
Daniel Grünbaum
Sebastian Imhof
OffRL
194
2
0
07 Jun 2023
HiPart: Hierarchical Divisive Clustering Toolbox
HiPart: Hierarchical Divisive Clustering ToolboxJournal of Open Source Software (JOSS), 2022
Panagiotis Anagnostou
S. Tasoulis
V. Plagianakos
D. Tasoulis
264
3
0
18 Sep 2022
Coordinated Double Machine Learning
Coordinated Double Machine LearningInternational Conference on Machine Learning (ICML), 2022
Nitai Fingerhut
Matteo Sesia
Yaniv Romano
204
3
0
02 Jun 2022
Statistical Testing under Distributional Shifts
Statistical Testing under Distributional Shifts
Nikolaj Thams
Sorawit Saengkyongam
Niklas Pfister
J. Peters
OOD
479
11
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 RJournal of Statistical Software (JSS), 2021
Philipp Bach
Victor Chernozhukov
Malte S. Kurz
Martin Spindler
Jan Rabenseifner
GP
547
57
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 variablesNeural Information Processing Systems (NeurIPS), 2021
Jakob Runge
CML
501
33
0
20 Feb 2021
1
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