Maria De Arteaga
Maria De Arteaga is a Ph.D. student at Carnegie Mellon University.
I am a PhD student in the joint Machine Learning and Public Policy program, my advisor is Artur Dubrawski and I am part of the Auton Lab.
My research focuses on interpretable machine learning algorithms that can be used for decision support systems and knowledge discovery models. I have recently focused on finding latent, sparse correlation structures present in data, and on the discovery of complex anomalous patterns.