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Jingfeng Wu Jingfeng Wu  |  吴京风 I am a postdoc fellow (2023 - now) at the Simons Institute at UC Berkeley hosted by Peter Bartlett and Bin Yu , as a part of the NSF/Simons Collaboration on the Theoretical Foundations of Deep Learning . I earned my Ph.D. in Computer Science (2019 - 2023) at Johns Hopkins University, advised by Vladimir Braverman . Before that, I obtained B.S. in Mathematics (2012 - 2016) and M.S. in Applied Math (2016 - 2019) from Peking University. Email  |  CV  |  arXiv  |  Google Scholar  |  Twitter Research My research focuses on bridging the gap between theory and practice in machine learning by developing efficient algorithms to solve real-world problems and providing a deep understanding of the underlying theoretical principles. I am interested in the theory and algorithms of dee...
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