Difference between revisions of "SOCR JMM 2026"
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== [[SOCR_News | SOCR News & Events]]: 2026 JMM/AMS Special Session on ''Mathematical Foundation of Machine Learning'' == | == [[SOCR_News | SOCR News & Events]]: 2026 JMM/AMS Special Session on ''Mathematical Foundation of Machine Learning'' == | ||
| − | [[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [https://jointmathematicsmeetings.org/meetings/national/ | + | [[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [https://jointmathematicsmeetings.org/meetings/national/jmm2026/jmm2026-agenda 2026 JMM/AMS Tensor Analytics Session] ]] |
==Overview== | ==Overview== | ||
Revision as of 09:04, 13 August 2025
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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