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.

  • Bakry-Emery theory and renormalisation

    Hybrid

    Probability Seminar Speaker: Roland Bauerschmidt (Cambridge) Title: Bakry-Emery theory and renormalisation Abstract: I will discuss an approach to log-Sobolev inequalities that combines the Bakry-Emery theory with renormalisation and present several […]

  • Manifold Fitting: An Invitation to Statistics

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

    Probability Seminar Speaker: Zhigang Yao (Harvard CMSA/National University of Singapore) Title: Manifold Fitting: An Invitation to Statistics Abstract: This manifold fitting problem can go back to H. Whitney’s work in the early […]

  • Thresholds for edge colorings

    Virtual

    Probability Seminar Speaker: Vishesh Jain (University of Illinois Chicago) Title: Thresholds for edge colorings Abstract: We show that if each edge of the complete bipartite graph K_{n,n} is given a […]

  • On the free energy of spin glasses with multiple types

    Virtual

    Probability Seminar Speaker: Jean-Christophe Mourrat (ENS Lyon) Title: On the free energy of spin glasses with multiple types Abstract: In the simplest spin-glass model, due to Sherrington and Kirkpatrick, the […]

  • Some rigorous results on the Lévy spin glass model

    Virtual

    Probability Seminar Speaker: Wei-Kuo Chen (Minnesota) Title: Some rigorous results on the Lévy spin glass model Abstract: The Lévy spin glass model, proposed by Cizeau-Bouchaud, is a mean-field model defined on a […]

  • Sampling from the SK and mixed p-spin measures with stochastic localization

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

    Probability Seminar Speaker: Ahmed El Alaoui (Cornell) Title: Sampling from the SK and mixed p-spin measures with stochastic localization Abstract: I will present an algorithm which efficiently samples from the Sherrington-Kirkpatrick […]

  • 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 […]