Marena Lin (Harvard University) summarizes her presentation at the Harvard Center of Mathematical Sciences’ Big Data Conference 2017. Title: Optimizing climate variables for human impact studies Abstract: Estimates of the relationship between […] ...
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Annie Liang (University of Pennsylvania) summarizes her presentation at the Harvard Center of Mathematical Sciences’ Big Data Conference 2017. Title: The Theory is Predictive, but is it Complete? An Application […] ...
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Title: TensorFlow: Machine Learning for EveryoneAbstract: We’ve witnessed extraordinary breakthroughs in machine learning over the past several years. What kinds of things are possible now that weren’t possible before? How […] ...
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Zak Stone (Google) gives a brief summary of his presentation at the Center of Mathematical Sciences and Applications’ Big Data Conference 2017. Title: TensorFlow: Machine Learning for EveryoneAbstract: We’ve witnessed […] ...
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Title: Information aggregation in overlapping generations and the emergence of expertsAbstract: We study a model of social learning with “overlapping generations”, where agents meet others and share data about an […] ...
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On Aug. 13, 2017, Boston-area Iranian scholars organized a memorial in honor of Fields Medal winner Maryam Mirzakhani. The event was moderated by CMSA Visitor Artan Sheshmani, and featured comments […] ...
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(Above) Big Data 2017 attendees, speakers and organizers pose for a group photo on the steps of Harvard’s Littauer Center. ...
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In anticipation of the Center of Mathematical Sciences and Applications’ Big Data Conference (Aug. 18-19), Jun Liu, professor of statistics at Harvard University and a Scientific Board member of CMSA, […] ...
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Scott Kominers, associate professor at the Harvard Business School and faculty affiliate at the Center of Mathematical Sciences and Applications, speaks briefly on the upcoming Big Data Conference (Aug. 18-19). […] ...
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Mark Kempton, a postdoctoral researcher at the Harvard Center of Mathematical Science and Applications working with S.T. Yau, describes the center’s recent research in graph theory and highlights a few […] ...
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CMSA Postdoc Philippe Sosoe describes the center’s regular Random Matrix and Probability Theory seminars, and highlights a few of the series’ more diverse topics of discussion. More info on the […] ...
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