Stanford Graduate School of Business
Stanford Center for Professional Development


Percy Liang at AI Frontiers 2018: Pushing the Limits of Machine Learning


Stanford Graduate School of Business

Fields: machine learning, natural language processing.

Topics: unsupervised learning, structured prediction, statistical learning theory, grounded language acquisition, compositional semantics, program induction.

Learning semantics: Natural language allows us to express complex ideas using a few words, but the actual semantics are rarely directly observed. We therefore model the expressive semantics of language as programs whose execution produces observed data, and develop algorithms to learn these programs from indirect supervision.

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Biography Paul Frymer teaches and writes on topics in American law and politics, particularly as they intersect with issues of democratic representation, race and civil rights, and labor and employment. He is a former LAPA fellow (2004-2005), and served two terms as Acting Director (2009-2010 and...
Research Areas Power and Status Motivation and Goal Setting Social Cognition Pamela K. Smith’s area of expertise is social power, particularly from a social cognition standpoint. Her research focuses on power: the degree to which one person has more control over valued resources than anothe...
About Professor Joan K. Moore has been a Federal government employee for over 30 years and currently works as a Supervisory Investigator in the U.S. Attorney’s Office in Chicago.  Joan investigates and helps prosecute fraud in all Federal government programs.  She has been teaching for over 25 ye...