Rishit Sheth

Rishit Sheth is a postdoctoral researcher at Microsoft Research New England. His primary research interests are in algorithms and applications of Bayesian modeling with variational inference, and associated learning guarantees. He will be working with Nicolo Fusi on automated machine learning while at MSRNE. His PhD research was in algorithms and theory for variational inference in non-conjugate models, and was conducted at Tufts University under Roni Khardon.