Jeffrey Negrea
Assistant Prof at UWaterloo Statistics and Actuarial Science
Faculty Affiliate at the Vector Institute
https://www.math.uwaterloo.ca/~jnegrea/
@vveitch.bsky.social
machine learning and artificial intelligence | University of Chicago / Google
@chuningxdy.bsky.social
PhD student @UofT and @Vector, Deep Learning Theory https://www.cs.toronto.edu/~chuning/
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/
@ekansharma.bsky.social
ML researcher | PhD candidate @ UofT + Vector Institute I am interested in parsimonious neural network training and inference.
@ziyiliu.bsky.social
PhD student @UofT & @Vector. I work on learning theory, with a particular focus on bandits and online learning.
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@mufan-li.bsky.social
Postdoc at Princeton | Incoming Assistant Prof at Waterloo Statistics | Prev: PhD at UofT and Vector https://mufan-li.github.io/
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app