machine learning and artificial intelligence | University of Chicago / Google
PhD student @UofT and @Vector, Deep Learning Theory
https://www.cs.toronto.edu/~chuning/
Post-doctoral Fellow @ Vector Institute, Toronto
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/
ML researcher | PhD candidate @ UofT + Vector Institute
I am interested in parsimonious neural network training and inference.
PhD student @UofT & @Vector. I work on learning theory, with a particular focus on bandits and online learning.
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.
Assistant Professor @UWaterloo Statistics and @VectorInst | Prev: Postdoc @Princeton PhD @UofTStatSci
https://mufan-li.github.io/
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