Past Seminars

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  • Kino Zhao
    Mon Nov 20, 2017
    4:00 pm
    One of the primary theoretical tools in machine learning is Vapnik-Chervonenkis dimension (VC dimension), which measures the maximum number of distinct data points a hypothesis set can distinguish. This concept is primarily used in assessing the effectiveness of training classification algorithms from data, and it is established that having finite...
  • Jennifer Wilson
    Mon Nov 20, 2017
    4:00 pm
    This talk will illustrate some topological properties of the space F_k(M) of ordered k-tuples of distinct points in a manifold M. For a fixed manifold M, as k increases, we might expect the topology of the configuration spaces F_k(M) to become increasingly complicated. Church and others showed, however, that when M is connected and open, there is...
  • Chris Davis
    Fri Nov 17, 2017
    4:00 pm
    When different issues come up in teaching, there are many different people who can potentially help...  we'll play a game related to deciding whom to ask for assistance in different circumstances (as well as when something can probably be handled on your own).  
  • Nishant Rangamani
    Fri Nov 17, 2017
    2:00 pm
    The goal of this talk will be to discuss various issues related to the Anderson model as presented in Del Rio et. al "Operators with Singular Continuous Spectrum, IV." Firstly, we will explain the type of localization that allows one to make dynamical statements (i.e. given simple spectrum, we have 'SULE' iff 'SUDL'). We...
  • Yitang Zhang
    Thu Nov 16, 2017
    4:00 pm
    We briefly describe some ideas and techniques that lead to solutions to certain problems in number theory, such as the bounded gaps between prime numbers, and others. This talk will be made understandable to general math audiences; technical details will be avoided.
  • Wencai Liu
    Thu Nov 16, 2017
    3:00 pm
  • Jennifer Bryson
    Tue Nov 14, 2017
    2:15 pm