Cyril Zhang

/
(203) 747 5659

I'm a fifth-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 a student researcher at Google AI.

I'm broadly interested in theory and algorithms for machine learning. My Ph.D. work has focused on optimization and regret minimization in stateful environments, through lines of work on learning in dynamical systems and large-scale optimization. Recently, I've been applying these ideas to reinforcement learning, natural language processing, and time-series forecasting.

Before that, I completed a B.S. in Computer Science at Yale, where I worked on Laplacian solvers and exoplanets. I grew up in Toronto, and was an olympiad coder in a past life.

Publications

With Udaya Ghai, Holden Lee, Karan Singh, and Yi Zhang.
With Mark Braverman, Xinyi Chen, Sham Kakade, Karthik Narasimhan, and Yi Zhang.
With Xinyi Chen, Naman Agarwal, Elad Hazan, and Yi Zhang.
With Naman Agarwal, Rohan Anil, Elad Hazan, and Tomer Koren.
With Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, and Yi Zhang.
With Elad Hazan, Holden Lee, 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.