Sara Magliacane

Research Staff Member

For the past six years I have worked in various fields of Computer Science research, from databases, to Semantic web, distributed systems and machine learning. I just finished a PhD degree on the topic of causality and probabilistic logics at the VU University Amsterdam and the University of Amsterdam. During my PhD I did two internships, one in Google Zurich and one in Google Research in New York. I previously studied Computer Engineering at the University of Trieste, at Politecnico di Milano and Alta Scuola Politecnica.

Top Work

Causal inference is expensive. Here’s an algorithm for fixing that.

Causal inference is expensive. Here’s an algorithm for fixing that.

Causal Inference

Publications with the MIT-IBM Watson AI Lab

Causal inference is expensive. Here’s an algorithm for fixing that.
Causal inference is expensive. Here’s an algorithm for fixing that.
 
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions