During the Fall semester of the 2023–24 academic year, the CMSA hosted the Probability Seminar organized by Benjamin McKenna, Changji Xu, and Kevin Yang.

This seminar will move to the Harvard Mathematics Department in Spring 2024. The schedule will be updated at www.math.harvard.edu  as talks are confirmed.

To join the Probability Seminar Listserv, please visit this LINK.

  • Localization for random band matrices

    Harvard Science Center 1 Oxford Street, Cambridge, MA

    Probability Seminar *Please note room change: Science Center 232* Speaker: Ron Peled (Tel Aviv University) Title: Localization for random band matrices Abstract: I will explain an approach via "an adaptive Mermin-Wagner style shift" […]

  • Large deviations of Selberg’s central limit theorem

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Probability Seminar Speaker: Emma Bailey (CUNY) Title: Large deviations of Selberg’s central limit theorem Abstract: Selberg’s CLT concerns the typical behaviour of the Riemann zeta function and shows that the […]

  • Diagonalizing Transition Matrices of Card Shuffles

    Science Center 232 Harvard Science Center, 1 Oxford Street, Cambridge MA 02138

    Probability Seminar Speaker: Evita Nestoridi (Stonybrook) Title: Diagonalizing Transition Matrices of Card Shuffles Abstract: In their seminal work, Diaconis and Shahshahani used representation theory of the symmetric group to diagonalize […]

  • Boundary current fluctuations for the half space ASEP

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Probability Seminar Speaker: Jimmy He (MIT) Title: Boundary current fluctuations for the half space ASEP Abstract: The half space asymmetric simple exclusion process (ASEP) is an interacting particle system on the half line, […]

  • Random Neural Networks

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Probability Seminar Speaker: Boris Hanin (Princeton) Title: Random Neural Networks Abstract: Fully connected neural networks are described two by structural parameters: a depth L and a width N. In this talk, I […]

  • How do the eigenvalues of a large non-Hermitian random matrix behave?

    Harvard Science Center 1 Oxford Street, Cambridge, MA

    Probability Seminar Speaker: Giorgio Cipolloni (Princeton) Title: How do the eigenvalues of a large non-Hermitian random matrix behave? Abstract: We prove that the fluctuations of the eigenvalues converge to the […]

  • Light cones for open quantum systems

    Science Center 232 Harvard Science Center, 1 Oxford Street, Cambridge MA 02138

    Probability Seminar Speaker: Marius Lemm, University of Tuebingen Title: Light cones for open quantum systems Abstract: We consider non-relativistic Markovian open quantum dynamics in continuous space. We show that, up to […]

  • Correlation decay for finite lattice gauge theories

    Science Center 232 Harvard Science Center, 1 Oxford Street, Cambridge MA 02138

    Probability Seminar Speaker: Arka Adhikari (Stanford) Title: Correlation decay for finite lattice gauge theories Abstract: In the setting of lattice gauge theories with finite (possibly non-Abelian) gauge groups at weak […]

  • Large deviations for the 3D dimer model

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Probability Seminar Speaker: Catherine Wolfram (MIT) Title: Large deviations for the 3D dimer model Abstract: A dimer tiling of Z^d is a collection of edges such that every vertex is […]

  • Geometry of the doubly periodic Aztec dimer model

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Probability Seminar Speaker: Tomas Berggren (MIT) Title: Geometry of the doubly periodic Aztec dimer model Abstract: Random dimer models (or equivalently tiling models) have been a subject of extensive research […]

  • Tail estimates for stationary KPZ models

    Virtual

    Probability Seminar Speaker: Benjamin Landon (University of Toronto) Title: Tail estimates for stationary KPZ models Abstract: The limiting distributions of the KPZ universality class exhibit tail exponents of 3/2 and […]

  • Universality of max-margin classifiers

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Probability Seminar Speaker: Youngtak Sohn (MIT) Title: Universality of max-margin classifiers Abstract: Many modern learning methods, such as deep neural networks, are so complex that they perfectly fit the training […]