Bayesian federated estimation of causal effects from observational data

Year
2022
Private Intelligence relation
DIRECT
Link
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=E-kZZeQAAAAJ&cstart=20&pagesize=80&citation_for_view=E-kZZeQAAAAJ:YFjsv_pBGBYC
Conference/Journal

Uncertainty in Artificial Intelligence, 2024-2034

Author(s) from Distilled Foundation
TN Hoang
How the work relates to Private Intelligence

A Bayesian framework for estimating causal effects from federated observational data sources.

Gained Experience