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Conformal Prediction for Causal Effects of Continuous Treatments

Conformal Prediction for Causal Effects of Continuous Treatments

3 July 2024
Maresa Schröder
Dennis Frauen
J. Schweisthal
Konstantin Heß
Valentyn Melnychuk
Stefan Feuerriegel
ArXivPDFHTML

Papers citing "Conformal Prediction for Causal Effects of Continuous Treatments"

6 / 6 papers shown
Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk
Stefan Feuerriegel
M. Schaar
CML
54
2
0
05 Nov 2024
Causal machine learning for predicting treatment outcomes
Causal machine learning for predicting treatment outcomes
Stefan Feuerriegel
Dennis Frauen
Valentyn Melnychuk
J. Schweisthal
Konstantin Hess
Alicia Curth
Stefan Bauer
Niki Kilbertus
Isaac S. Kohane
Mihaela van der Schaar
CML
19
88
0
11 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Konstantin Hess
Stefan Feuerriegel
46
0
0
04 Oct 2024
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
K. K.
Bernhard Schölkopf
Michael Muehlebach
24
0
0
02 Oct 2024
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems
Qiushuo Hou
Sangwoo Park
Matteo Zecchin
Yunlong Cai
Guanding Yu
Osvaldo Simeone
19
1
0
30 Sep 2024
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1