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Associate Professor Tamir Hazan Joined the faculty in 2015. He received his Ph.D. from the Hebrew University in 2009
Professor Hazan research interests involve the theoretical and practical aspects of machine learning. His research focuses on mathematically founded solutions to modern real-life problems that demonstrate non-traditional statistical behavior. Recent examples are perturbation models that allow efficient learning of high dimensional statistics, deep learning of infinite networks and primal-dual optimization for high-dimensional inference problem. The practice of his work is motivated by many computer vision problems, as well as computational biology and language processing.