ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.16026
  4. Cited By
A Neural Framework for Generalized Causal Sensitivity Analysis

A Neural Framework for Generalized Causal Sensitivity Analysis

27 November 2023
Dennis Frauen
F. Imrie
Alicia Curth
Valentyn Melnychuk
Stefan Feuerriegel
M. Schaar
    CML
ArXivPDFHTML

Papers citing "A Neural Framework for Generalized Causal Sensitivity Analysis"

12 / 12 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
51
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
14
86
0
11 Oct 2024
Teleporter Theory: A General and Simple Approach for Modeling
  Cross-World Counterfactual Causality
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality
Jiangmeng Li
Bin Qin
Qirui Ji
Yi Li
Wenwen Qiang
Jianwen Cao
Fanjiang Xu
39
0
0
17 Jun 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple
  Environments
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
J. Schweisthal
Dennis Frauen
M. Schaar
Stefan Feuerriegel
CML
32
3
0
04 Jun 2024
Consistency of Neural Causal Partial Identification
Consistency of Neural Causal Partial Identification
Jiyuan Tan
Jose Blanchet
Vasilis Syrgkanis
CML
24
0
0
24 May 2024
Learning Structural Causal Models through Deep Generative Models:
  Methods, Guarantees, and Challenges
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
Audrey Poinsot
Alessandro Leite
Nicolas Chesneau
Michèle Sébag
Marc Schoenauer
43
3
0
08 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
8
6
0
30 Jan 2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity
  Framework
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
Maresa Schröder
Dennis Frauen
Stefan Feuerriegel
CML
11
6
0
30 Nov 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
6
11
0
02 Jun 2023
Normalizing Flows for Interventional Density Estimation
Normalizing Flows for Interventional Density Estimation
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
42
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
24
48
0
28 Sep 2021
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
207
713
0
12 May 2016
1