research
∙
04/23/2023
Meaningful Causal Aggregation and Paradoxical Confounding
In aggregated variables the impact of interventions is typically ill-def...
share
research
∙
06/26/2022
Explaining the root causes of unit-level changes
Existing methods of explainable AI and interpretable ML cannot explain c...
research
∙
06/14/2022
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models
We introduce DoWhy-GCM, an extension of the DoWhy Python library, that l...
research
∙
02/26/2021
Why did the distribution change?
We describe a formal approach based on graphical causal models to identi...
research
∙
09/06/2020
Discovering Reliable Causal Rules
We study the problem of deriving policies, or rules, that when enacted o...
research
∙
12/05/2019
Causal structure based root cause analysis of outliers
We describe a formal approach to identify 'root causes' of outliers obse...
research
∙
02/22/2017