Max Shen, PhD Student, Computational & Systems Biology
Enrollment: Unlimited: No advance sign-up
Attendance: Participants welcome at individual sessions
The vast majority of machine learning advances concern associative or correlative relationships despite the importance of learning and inferring causal relationships.
In this brief class, we will consider how the successful tool of deep learning can best deliver new insights into fundamental problems regarding causality. We will explore several recent and successful papers describing applications of deep learning to causality, with the big picture goal of understanding fruitful next steps in the research intersection of deep learning and causality.
Please register here for class email updates: https://goo.gl/forms/xOgpVJB5OFsrUB6G3
Contact: Max Shen, MAXWSHEN@MIT.EDU