Causal inference is fundamental to empirical scientific discoveries in
n...
This paper proposes a novel framework for certifying the fairness of
pre...
When analyzing large datasets, analysts are often interested in the
expl...
What-if (provisioning for an update to a database) and how-to (how to mo...
A wide variety of fairness metrics and eXplainable Artificial Intelligen...
There has been a recent resurgence of interest in explainable artificial...
Causal inference is at the heart of empirical research in natural and so...
Acyclic schemes have numerous applications in databases and in machine
l...
Fairness is increasingly recognized as a critical component of machine
l...
Fairness is increasingly recognized as a critical component of machine
l...
We describe customized synthetic datasets for publishing mobility data.
...
On line analytical processing (OLAP) is an essential element of
decision...
On line analytical processing (OLAP) is an essential element of
decision...
The study of causality or causal inference - how much a given treatment
...
Causality has been recently introduced in databases, to model, character...
Causal inference from observational data is a subject of active research...
Causality has been recently introduced in databases, to model, character...
Causality has been recently introduced in databases, to model, character...