One paper from the Mathematical Optimization Laboratory (Professor IIDUKA Hideaki) in the Department of Computer Science, School of Science and Technology, Meiji University, has been accepted for presentation at the 18th Asian Conference on Machine Learning (ACML 2026), a prestigious international conference in the fields of artificial intelligence and machine learning.
Dates: December 01-04, 2026
Venue: Melbourne, Australia
Authors: Hinata Harada, Hideaki Iiduka
Paper Title: Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rate