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Falsification before Extrapolation in Causal Effect Estimation
v1v2v3 (latest)

Falsification before Extrapolation in Causal Effect Estimation

Neural Information Processing Systems (NeurIPS), 2022
27 September 2022
Zeshan Hussain
Michael Oberst
M. Shih
David Sontag
    CML
ArXiv (abs)PDFHTML

Papers citing "Falsification before Extrapolation in Causal Effect Estimation"

9 / 9 papers shown
Title
Uncovering Bias Mechanisms in Observational Studies
Uncovering Bias Mechanisms in Observational Studies
Ilker Demirel
Zeshan Hussain
Piersilvio De Bartolomeis
D. Sontag
CML
203
0
0
01 Jun 2025
The Hardness of Validating Observational Studies with Experimental Data
The Hardness of Validating Observational Studies with Experimental DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Jake Fawkes
Michael O'Riordan
Athanasios Vlontzos
Oriol Corcoll
Ciarán M. Gilligan-Lee
256
4
0
19 Mar 2025
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
R. Karlsson
Jesse H. Krijthe
CML
331
2
0
10 Feb 2025
Prediction-powered Generalization of Causal Inferences
Prediction-powered Generalization of Causal Inferences
Ilker Demirel
Ahmed M. Alaa
Anthony Philippakis
David Sontag
OOD
188
13
0
05 Jun 2024
Evaluating Physician-AI Interaction for Cancer Management: Paving the
  Path towards Precision Oncology
Evaluating Physician-AI Interaction for Cancer Management: Paving the Path towards Precision Oncology
Zeshan Hussain
Barbara D. Lam
Fernando A. Acosta-Perez
I. Riaz
Maia L. Jacobs
Andrew J. Yee
David Sontag
154
1
0
23 Apr 2024
Benchmarking Observational Studies with Experimental Data under
  Right-Censoring
Benchmarking Observational Studies with Experimental Data under Right-Censoring
Ilker Demirel
E. Brouwer
Zeshan Hussain
Michael Oberst
Anthony Philippakis
David Sontag
108
5
0
23 Feb 2024
Hidden yet quantifiable: A lower bound for confounding strength using
  randomized trials
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials
Piersilvio De Bartolomeis
Javier Abad
Konstantin Donhauser
Fanny Yang
CML
198
10
0
06 Dec 2023
Falsification of Internal and External Validity in Observational Studies
  via Conditional Moment Restrictions
Falsification of Internal and External Validity in Observational Studies via Conditional Moment RestrictionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Zeshan Hussain
M. Shih
Michael Oberst
Ilker Demirel
D. Sontag
191
12
0
30 Jan 2023
Causal Falsification of Digital Twins
Causal Falsification of Digital Twins
R. Cornish
Muhammad Faaiz Taufiq
Arnaud Doucet
Chris Holmes
SyDaCML
209
1
0
17 Jan 2023
1