I want to understand how machines can learn useful representations of the world. I am also interested in discrete probability and its fundamental relation to many learning problems.
I am Josh Robinson, a PhD student at MIT CSAIL and LIDS advised by Stefanie Jegelka and Suvrit Sra. Previously I was an undergraduate in mathematics at the University of Warwick where I worked with Robert MacKay on probability theory.
Review service: NeurIPS, ICML, COLT, JMLR
Teaching: 6.867 machine learning (graduate level) – MIT fall 2021