Christopher Joseph Maddison

Christopher Maddison works on the development of methods for machine learning, emphasizing methods that work at scale in deep learning applications. Most of Maddison’s work is on the topics of gradient estimation and Bayesian inference. The commonality between the problems of numerical integration and optimization has dominated Maddison’s work and is a theme Maddison plans to explore at IAS.