BayesIMP: Uncertainty Quantification for Causal Data Fusion

BayesIMP: Uncertainty Quantification for Causal Data Fusion

7 June 2021

Jean-François Ton

Javier I. González

Dino Sejdinovic

Papers citing "BayesIMP: Uncertainty Quantification for Causal Data Fusion"

5 / 5 papers shown

Title
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes Hugh Dance Peter Orbanz Arthur Gretton CML 34 1 0 18 Oct 2024
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models Siu Lun Chau Krikamol Muandet Dino Sejdinovic FAtt 49 11 0 24 May 2023
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation Diego Martinez-Taboada Dino Sejdinovic CML OffRL 23 0 0 02 Nov 2022
Causal Inference from Small High-dimensional Datasets Raquel Y. S. Aoki Martin Ester CML 21 4 0 19 May 2022
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 27 19 0 02 Feb 2022