most citedBayesIMP: Uncertainty Quantification for Causal Data Fusion

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

stat.ML2021★ 3 cited

BayesIMP: Uncertainty Quantification for Causal Data Fusion

Siu Lun Chau, Jean-François Ton, Javier González +2

While causal models are becoming one of the mainstays of machine learning, the problem of uncertainty quantification in causal inference remains challenging. In this paper, we stud…

cs.LG2021

Deconditional Downscaling with Gaussian Processes

Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic

Refining low-resolution (LR) spatial fields with high-resolution (HR) information, often known as statistical downscaling, is challenging as the diversity of spatial datasets often…