Cyril Zhang

I'm a fourth-year Ph.D. candidate in the Department of Computer Science at Princeton. I'm extremely fortunate to be advised by Prof. Elad Hazan. I'm also currently a part-time research intern at Google Brain.

My research interests lie generally in theory and algorithms for machine learning, with a focus on online learning, non-convex optimization, and learning in dynamical systems.

Before that, I grew up in Toronto, and did my undergrad at Yale.

Publications

With Elad Hazan, Holden Lee, Karan Singh, and Yi Zhang.
The Case for Full-Matrix Adaptive Regularization. ICML 2018 (non-convex workshop).
With Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, and Yi Zhang.
With Brian Bullins and Yi Zhang.
With Sanjeev Arora, Elad Hazan, Holden Lee, Karan Singh, and Yi Zhang.
With Elad Hazan and Karan Singh.
With Elad Hazan and Karan Singh.
With Matthew Giguere, Debra Fischer, Jaymie Matthews, Chris Cameron, and Gregory Henry.