Xiang Cheng

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I am a graduate student in the EECS department at UC Berkeley, co-advised by Peter Bartlett and Michael Jordan.
I am interested in the connections between optimization and sampling algorithms for machine learning.
Recently, I have been trying use insights from SDE theory to understand the statistical consequences of randomness in algorithms such as Stochastic Gradient Descent.
I am also interested in topics in online learning, bandits, and reinforcement learning and game theory.

You can contact me at x[dot][lastname]@berkeley.edu