Co-occurring keywords · papers mentioning both
Papers
Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data
CLeaR 2026
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
UAI 2024
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models
JMLR 2024
The Proximal ID Algorithm
JMLR 2023
Why did the distribution change?
AISTATS 2021
Finding Minimal d-separators in Linear Time and Applications
UAI 2019
Learning the Structure of a Nonstationary Vector Autoregression
AISTATS 2019