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Sharp Bounds for Generalized Causal Sensitivity Analysis

Sharp Bounds for Generalized Causal Sensitivity Analysis

26 May 2023
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
    CML
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Papers citing "Sharp Bounds for Generalized Causal Sensitivity Analysis"

8 / 8 papers shown
Title
Your Assumed DAG is Wrong and Here's How To Deal With It
Kirtan Padh
Zhufeng Li
Cecilia Casolo
Niki Kilbertus
CML
50
0
0
24 Feb 2025
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
56
3
0
05 Nov 2024
Targeted Sequential Indirect Experiment Design
Targeted Sequential Indirect Experiment Design
Elisabeth Ailer
Niclas Dern
Jason S. Hartford
Niki Kilbertus
46
1
0
30 May 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid
Causal Machine Learning for Cost-Effective Allocation of Development Aid
Milan Kuzmanovic
Dennis Frauen
Tobias Hatt
Stefan Feuerriegel
32
7
0
30 Jan 2024
A Neural Framework for Generalized Causal Sensitivity Analysis
A Neural Framework for Generalized Causal Sensitivity Analysis
Dennis Frauen
F. Imrie
Alicia Curth
Valentyn Melnychuk
Stefan Feuerriegel
M. Schaar
CML
31
10
0
27 Nov 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect
  Estimation
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
CML
32
9
0
19 Nov 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
An Automated Approach to Causal Inference in Discrete Settings
An Automated Approach to Causal Inference in Discrete Settings
Guilherme Duarte
N. Finkelstein
D. Knox
Jonathan Mummolo
I. Shpitser
31
48
0
28 Sep 2021
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