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Elad Hazan is a Professor in the Department of Computer Science at Princeton University, focusing on the design and analysis of algorithms for fundamental problems in machine learning and optimization. His contributions include co-inventing the AdaGrad algorithm for deep learning, developing sublinear-time algorithms for convex optimization, and research in online non-stochastic control theory. He has received numerous accolades, including the Bell Labs Prize and the IBM Goldberg paper award twice, along with European Research Council grants and Marie Curie fellowships on two occasions. He also earned a Google Research Award. In 2015, he served as the program chair of the Conference on Learning Theory and has been a co-founder and director of Google AI Princeton. His work prominently addresses the interplay between artificial intelligence and practical applications, pushing the boundaries of what machines can achieve.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.