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  • Nov
    14

    CS Seminar: "Fundamental Limits of Combinatorial Inference in Ising Models", Han Liu

    Department of Computer Science (CS)

    12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    Monday / CS Seminar
    November 14th / 12:00 PM
    Hybrid / Mudd 3514

    Title: Fundamental Limits of Combinatorial Inference in Ising Models

    Speaker: Han Liu

    Zoom Link

    Live Stream

    Abstract:
    Ising model is the simplest universal model that is powerful enough for modeling all complex spin systems (i.e., high dimensional chaos). In this talk, I will introduce the Ising model through the lens of a computer scientist and statistician, explaining how it plays a pivotal role in several active research areas, including the post Moore’s Law computing, brain and cognitive science, deep learning and deep probabilistic generative models, and combinatorial statistics. I will then focus on a concrete graph structure testing problem for Ising models and present some recent new discoveries on the statistical and computational lower bounds of this problem. This talk is based on joint work with Yao-Chieh Hu and Matey Neykov.

    Biography:
    Han Liu directs the MAGICS (Modern Artificial General Intelligence and Computer Systems) lab at Northwestern University. He has been the founding director of the deep reinforcement learning center at Tencent AI Lab and had been a professor at Princeton University and Johns Hopkins University. He received a joint PhD in Machine Learning and Statistics from the Machine Learning Department at Carnegie Mellon University. His research integrates modern statistics and machine learning, focusing on exploiting massive computational experiments to revolutionize science and engineering. Han Liu has received numerous research awards including the Presidential Early Career Awards for Scientists and Engineers (PECASE), the Alfred P Sloan Fellowship in Mathematics, the IMS Tweedie New Researcher Award, the ASA Noether Young Scholar Award, the NSF CAREER Award, the Howard B Wentz Award and the Umesh Gavaskar Memorial Best Dissertation Award.

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    TIME Monday, November 14, 2022 at 12:00 PM - 1:00 PM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)