Fluctuation of mean field spin models
Người báo cáo: Cấn Văn Hảo
Thời gian: 14h Thứ 5, ngày 09/03/2023
Địa điểm: Phòng 507 nhà A6
Link online Zoom: 845 8621 8812
Passcode: 123456
Tóm tắt: Consider the mean-field spin models where the Gibbs measure of each configuration depends only on its magnetization.Based on the Stein and Laplace methods, we give a new and short proof for the scaling limit theorems with convergence rate for the magnetization in a perturbed model. As an application, we derive the scaling limit theorems for the maximum likelihood estimator in linear models.
Joint work with Adrian Rollin (National University of Singapore)
Tin tức nổi bật
Hoạt động tuần
Hội thảo sắp diễn ra
03/08/26, Hội nghị, hội thảo:
Summer School "Complex Networks: Theory and Practice" (part 2 of Thematic Semester "GRAPHS AND BEYOND")
13/10/26, Hội nghị, hội thảo:
International Workshop on Optimization, Variational Analysis, and Control Theory
09/11/26, Hội nghị, hội thảo:
Workshop on singularities and related topics (Conference in memory of Professor Lê Dũng Tráng)
Xuất bản mới
Lê Xuân Thanh,
Đỗ Thị Thùy,
Trần Văn Thắng,
Monotonic Complementarity Problems,
Vietnam Journal of Mathematics, Volume 54, pages 999–1011 (2026)
La Văn Thịnh,
Hoàng Thế Tuấn,
On the Mittag–Leffler Stability of Mixed-Order Fractional Homogeneous Cooperative Delay Systems,
Vietnam Journal of Mathematics, Volume 54, pages 773–789 (2026)
Đỗ Minh Thắng,
Sonja Hannibal,
Arnulf Jentzen,
Non-convergence to global minimizers in data driven supervised deep learning: Adam and stochastic gradient descent optimization provably fail to converge to global minimizers in the training of deep neural networks with ReLU activation,
Journal of Mathematical Analysis and Applications, 564 (2026) 130724