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Estimating individual treatment effects under unobserved confounding
  using binary instruments

Estimating individual treatment effects under unobserved confounding using binary instruments

17 August 2022
Dennis Frauen
Stefan Feuerriegel
    CML
ArXivPDFHTML

Papers citing "Estimating individual treatment effects under unobserved confounding using binary instruments"

14 / 14 papers shown
Title
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
Dennis Frauen
Maresa Schröder
Konstantin Hess
Stefan Feuerriegel
CML
26
0
0
19 May 2025
Long-term Causal Inference via Modeling Sequential Latent Confounding
Long-term Causal Inference via Modeling Sequential Latent Confounding
Weilin Chen
Ruichu Cai
Yuguang Yan
Zhifeng Hao
José Miguel Hernández-Lobato
CML
87
1
0
26 Feb 2025
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination
Weilin Chen
Ruichu Cai
Junjie Wan
Zeqin Yang
José Miguel Hernández-Lobato
61
1
0
26 Feb 2025
Learning Representations of Instruments for Partial Identification of
  Treatment Effects
Learning Representations of Instruments for Partial Identification of Treatment Effects
Jonas Schweisthal
Dennis Frauen
Maresa Schröder
Konstantin Hess
Niki Kilbertus
Stefan Feuerriegel
CML
39
1
0
11 Oct 2024
Causal machine learning for predicting treatment outcomes
Causal machine learning for predicting treatment outcomes
Stefan Feuerriegel
Dennis Frauen
Valentyn Melnychuk
Jonas Schweisthal
Konstantin Hess
Alicia Curth
Stefan Bauer
Niki Kilbertus
Isaac S. Kohane
Mihaela van der Schaar
CML
27
93
0
11 Oct 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen
Konstantin Hess
Stefan Feuerriegel
37
7
0
07 Jul 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple
  Environments
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
Jonas Schweisthal
Dennis Frauen
M. Schaar
Stefan Feuerriegel
CML
47
4
0
04 Jun 2024
Adaptive Instrument Design for Indirect Experiments
Adaptive Instrument Design for Indirect Experiments
Yash Chandak
Shiv Shankar
Vasilis Syrgkanis
Emma Brunskill
40
4
0
05 Dec 2023
Partial Counterfactual Identification of Continuous Outcomes with a
  Curvature Sensitivity Model
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
32
11
0
02 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis
Sharp Bounds for Generalized Causal Sensitivity Analysis
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
CML
41
18
0
26 May 2023
Zero-shot causal learning
Zero-shot causal learning
H. Nilforoshan
Michael Moor
Yusuf Roohani
Yining Chen
Anja vSurina
Michihiro Yasunaga
Sara Oblak
J. Leskovec
CML
BDL
OffRL
24
11
0
28 Jan 2023
Normalizing Flows for Interventional Density Estimation
Normalizing Flows for Interventional Density Estimation
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
50
18
0
13 Sep 2022
Estimating Conditional Average Treatment Effects with Missing Treatment
  Information
Estimating Conditional Average Treatment Effects with Missing Treatment Information
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
CML
6
5
0
02 Mar 2022
Estimating average causal effects from patient trajectories
Estimating average causal effects from patient trajectories
Dennis Frauen
Tobias Hatt
Valentyn Melnychuk
Stefan Feuerriegel
OOD
CML
19
25
0
02 Mar 2022
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