• CCMS Colloquium: Braxton Osting (University of Utah)

    Davidson Lecture Hall, CMC 340 E 9th St, Claremont, CA, United States

    CCMS Colloquium invites you to a talk by Braxton Osting (University of Utah) Title: Blood pressure monitoring with biophysics-informed machine learning models Abstract: Measurement of blood pressure (BP) is essential for early diagnosis and management of hypertension, a condition that 45% of US adults have and a risk factor for development of heart failure, the […]

  • Estimating Shapley Values for Explainable AI via Richer Model Approximations (Teal Witter, CMC)

    Emmy Noether Room, Estella 1021, Pomona College, 610 N. College Ave., Claremont, CA, United States

    Abstract: Modern machine learning is ultimately a simple process: We iteratively update the weights of machine learning models to minimize a problem-specific loss. When it works well, we deploy the model in human-facing domains like healthcare, finance, or the justice system. But even though we know how models are trained, we don't understand why they […]

  • CCMS Colloquium: Anna Ma (UCI)

    Davidson Lecture Hall, CMC 340 E 9th St, Claremont, CA, United States

    CCMS Colloquium invites you to a talk by Anna Ma (UCI) Title: Stochastic iterative methods for solving tensor linear systems Abstract: Solving linear systems is a crucial subroutine and challenge in data science and scientific computing. Classical approaches for solving linear systems assume that data is readily available and small enough to be stored in […]

  • GEMS November 1st Session

    Shanahan B450, Harvey Mudd College 301 Platt Blvd., Claremont, United States

    This GEMS session will be facilitated by Grace Akinwande from the Claremont Graduate University. Title: From Pizza to Calculus: Understanding Area Through Approximation Abstract: How much more pizza do you really get from a larger size? In this presentation, we explore the concept of area starting from an everyday question—the pizza dilemma! We’ll review basic […]

  • Convergence analysis of the Alternating Anderson-Picard method for nonlinear fixed-point problems (Xue Feng, UCLA)

    Emmy Noether Room, Estella 1021, Pomona College, 610 N. College Ave., Claremont, CA, United States

    Abstract: Anderson Acceleration (AA) has been widely used to solve nonlinear fixed-point problems due to its rapid convergence. This talk focuses on a variant of AA in which multiple Picard iterations are performed between each AA step, referred to as the Alternating Anderson-Picard (AAP) method. Despite introducing more `slow' Picard iterations, this method has been […]

  • Claremont Topology Seminar: Robert Cass (Claremont McKenna College)

    Fletcher 104, Pitzer College 1050 N Mills Ave, Claremont, United States

    We welcome all undergraduate/graduate students and faculty to attend topology seminar! Speaker: Robert Cass (Claremont McKenna College) Title: Schubert varieties are splinters Abstract: Schubert varieties are among the most well-studied singular algebraic varieties, and they have numerous applications in combinatorics and representation theory. In positive characteristic, Schubert varieties are known to be Frobenius split by […]

  • CCMS Colloquium: Jemma Lorenat (Pitzer)

    Davidson Lecture Hall, CMC 340 E 9th St, Claremont, CA, United States

    CCMS Colloquium invites you to a talk by Jemma Lorenat (Pitzer) Title: Recognizing data: statistical literacies around 1900 Abstract: This talk centers on the first (and perhaps only) doctorate in the theory of correlations, granted by University College London in 1899 to Alice Lee. The production and reception of Lee's research sheds light on the varieties of […]

  • To Wait or Not to Wait? A Trade-off Between Population Externality and Signal Quality (Lan-Yi Liu, National Taiwan University)

    Emmy Noether Room, Estella 1021, Pomona College, 610 N. College Ave., Claremont, CA, United States

    Abstract: Transparency is vital for efficiency in social systems, yet individuals with critical information often strategically postpone disclosure, even when required, to benefit themselves. To study this behavior, we introduce a multi-stage Chinese restaurant game with incomplete information that features system-recommended action rules and varying levels of player foresight. In our model, players initially receive […]