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Bounds on Representation-Induced Confounding Bias for Treatment Effect
  Estimation

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation

19 November 2023
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
    CML
ArXivPDFHTML

Papers citing "Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation"

11 / 11 papers shown
Title
Orthogonal Representation Learning for Estimating Causal Quantities
Orthogonal Representation Learning for Estimating Causal Quantities
Valentyn Melnychuk
Dennis Frauen
J. Schweisthal
Stefan Feuerriegel
CML
OOD
BDL
51
2
0
06 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
54
2
0
05 Nov 2024
DAG-aware Transformer for Causal Effect Estimation
DAG-aware Transformer for Causal Effect Estimation
Manqing Liu
David R. Bellamy
Andrew L. Beam
CML
21
3
0
13 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential
  outcomes
DiffPO: A causal diffusion model for learning distributions of potential outcomes
Yuchen Ma
Valentyn Melnychuk
J. Schweisthal
Stefan Feuerriegel
DiffM
38
1
0
11 Oct 2024
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series
Thomas Schwarz
Cecilia Casolo
Niki Kilbertus
CML
30
0
0
11 Oct 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
14
87
0
11 Oct 2024
Towards Representation Learning for Weighting Problems in Design-Based
  Causal Inference
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
Oscar Clivio
Avi Feller
Chris Holmes
CML
OOD
25
3
0
24 Sep 2024
From Text to Treatment Effects: A Meta-Learning Approach to Handling
  Text-Based Confounding
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding
Henri Arno
Paloma Rabaey
Thomas Demeester
CML
28
0
0
23 Sep 2024
G-Transformer for Conditional Average Potential Outcome Estimation over
  Time
G-Transformer for Conditional Average Potential Outcome Estimation over Time
Konstantin Hess
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
47
2
0
31 May 2024
Bayesian Neural Controlled Differential Equations for Treatment Effect
  Estimation
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
Konstantin Hess
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
22
14
0
26 Oct 2023
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
207
718
0
12 May 2016
1