Biostatistics Department Seminar: Machine Learning and Causality
Department & Center Events
Biostatistics Department Seminar
Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making
Increasingly, practitioners are turning to Machine Learning to build causal models, and predictive models that perform well under distribution shifts. However, current techniques for causal inference typically rely on having access to large amounts of data, limiting their applicability to data-constrained settings. In addition, empirical evidence has shown that most predictive models are insufficiently robust with respect to shifts at test time. In this talk, Dr. Makar will present her work on building novel techniques addressing both of these problems.
Speaker
Maggie Makar, PhD, is an Assistant Professor, in the Electrical Engineering & Computer Science Department at the University of Michigan.
Registration
If you would like to join via Zoom, please register here.
2023-2024 Monday Seminar Series
All seminars are held at 12:05 PM via Zoom and onsite in Room W2008. View all seminar information here.