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Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in
  Medicine
v1v2 (latest)

Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine

Machine Learning in Health Care (MLHC), 2022
14 April 2022
Theresa Blümlein
Joel Persson
Stefan Feuerriegel
    CML
ArXiv (abs)PDFHTML

Papers citing "Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine"

4 / 4 papers shown
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
Emil Javurek
Valentyn Melnychuk
Jonas Schweisthal
Konstantin Hess
Dennis Frauen
Stefan Feuerriegel
187
2
0
30 Sep 2025
Safe and Interpretable Estimation of Optimal Treatment Regimes
Safe and Interpretable Estimation of Optimal Treatment RegimesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Harsh Parikh
Quinn Lanners
Zade Akras
Sahar F. Zafar
M. P. M. Brandon Westover
Cynthia Rudin
A. Volfovsky
OffRL
266
1
0
23 Oct 2023
Interpretable Off-Policy Learning via Hyperbox Search
Interpretable Off-Policy Learning via Hyperbox SearchInternational Conference on Machine Learning (ICML), 2022
D. Tschernutter
Tobias Hatt
Stefan Feuerriegel
OffRLCML
288
7
0
04 Mar 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.7K
20,867
0
16 Feb 2016
1
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