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    Colloquium of the Faculty of Engineering, June 13, 16:00 c.t. / Dr. Frank Hutter, Emmy Noether Research Group Lead

    03.06.2013 11:49
    Title: "Modelling and Optimization of Empirical Algorithm Performance"

    [Translate to English:] Dear colleagues, students & friends of the Faculty of Engineering,

    Dean Prof. Manoli and Prof. Nebel would like to cordially invite you to the colloquium of the Faculty of Engeneering:

    Dr. Frank Hutter
    Emmy Noether Research Group Lead, Department of Computer Science Freiburg
    Title: "Modelling and Optimization of Empirical Algorithm Performance"


    Date: Thursday, June 13, 2013
    Time: 16:00 (c.t.)
    Place: Faculty of Engineering, Georges-Köhler-Allee 101, 79110 Freiburg,
    Building 101, Room 02 016/18

    Abstract

    Algorithm developers and end users often face questions like the following: Which parameter setting should I use to optimize my algorithm's empirical performance? How does performance depend on the setting of a certain parameter?
    What characteristics distinguish easy from hard problem instances? Which of two (or more) available algorithms will perform best on a given new instance? We describe fully formalized domain-independent methods to answer these questions based on machine learning and optimization techniques. We illustrate the power of these automated methods on a variety of domains, ranging from combinatorial problems (SAT and mixed integer programming) to machine learning (where our techniques enable Auto-WEKA, a system that automatically determines the best learning algorithm and its parameters for a particular data set).

    Presenter
    Frank Hutter is an Emmy Noether Research Group Lead (eq. Assistant Professor) at the Computer Science Department of Freiburg University (Germany). He holds a PhD from the University of British Columbia (2009) and a Diplom (eq. MSc) from Darmstadt University of Technology (2004). Hutter's main research interests span artificial intelligence, machine learning, combinatorial optimization, empirical algorithmics, and computer-aided algorithm design. He received a doctoral dissertation award from the Canadian Artificial Intelligence Association and, with his coauthors, best paper awards from JAIR, SLS, and LION, and numerous medals at International SAT Competitions.

    We are looking forward to meeting you!

    With best regards,
    Yiannos Manoli                                  
    Dean of the Faculty of Engineering



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