SOCR JMM 2026
Revision as of 09:03, 13 August 2025 by Dinov (talk | contribs) (Replaced content with "== SOCR News & Events: 2026 JMM/AMS Special Session on ''Mathematical Foundation of Machine Learning'' == Image:BigData_AMS_JMM_2014.gif|250px|thumbnail...")
Contents
SOCR News & Events: 2026 JMM/AMS Special Session on Mathematical Foundation of Machine Learning
Overview
- Location: Room 204C, Walter E. Washington Convention Center, 801 Allen Y. Lew Place NW, Washington, DC 20001
- Organizers: Maryam Bagherian & Emanuele Zappala (Idaho State University)
- Abstract: This special session focuses on the rigorous mathematical foundations underlying modern machine learning. Topics include, but are not limited to, operator theory, functional analysis, optimization, linear/multilinear algebra, metric learning, and approximation theory of neural networks. We welcome contributions that deepen understanding of data-driven algorithms through fundamental mathematical inquiry, emphasizing theoretical rigor in exploring the principles driving machine learning.
Abstract Submission
- Abstract Submission: Abstracts must be submitted through the AMS portal.
- Submission Period: July 10, 2025 -- Tuesday, September 9, 2025
Program
... pending ...
Ivo Dinov's talk
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