I visited Prairie View A&M University (PVAMU) from October 5 to October 12, 2026. During the visit, I delivered a presentation entitled “Efficient implementation of Newton’s method for linear classification models with hardmax loss” at the Mathematics Department Colloquium of the College of Arts and Sciences.
Our research findings in the field of artificial intelligence, focusing specifically on an efficient method for implementation Newton steps to solve machine learning classification problems has been presented. Replacing the usual soft-max formulation with a loss based on hard-max she gained so much structure that the sparse block factorization can be applied to the Hessian which allowed to reduce evaluation costs. The presentation attracted considerable interest from her American colleagues. In recognition of the excellent presentation and valuable contribution to the work of the PVAMU Department of Mathematics Colloquium, I was also awarded a Certificate of Appreciation.
PVAMU is the Texas State Research University in Prairie View with a 150-year history. The University offers more than 70 educational programs across nine colleges and schools and is accredited to award baccalaureate, masters, and doctorate degrees.
It should be noted that the university creates an inclusive educational environment by offering individualized diagnostic testing, in-class accommodations, assistive technology, and referrals to university departments and community agencies.
The faculty of the PVAMU Department of Mathematics is engaged in research in various fields such as mathematical modeling, queuing theory, statistics, mathematical education, image processing, as well as interdisciplinary research in collaboration with scientists from the Faculties of Engineering and Education.
The international journal Applications and Applied Mathematics: An International Journal (AAM) is published through the Department of Mathematics at PVAMU. Also, it's worth mentioning that our manuscript entitled “Linear Integro-Differential Equations with Boundary Conditions on a Given Convex Closed Set,” co-authored by professor S. Aisagaliev, and D. Nurmagambetov, was recently accepted for publication in AAM.
Associate Professor of the Department of Mathematics,
Candidate of Physical and Mathematical Sciences,
Assem Altаevna Kabidoldanova
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