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[School of Science and Technology] Paper by Mathematical Optimization Laboratory (Professor IIDUKA Hideaki) accepted to Transactions on Machine Learning Research (TMLR)

Sep. 04, 2026

A paper by the Mathematical Optimization Laboratory (Professor IIDUKA Hideaki) at the Department of Computer Science, the School of Science and Technology was accepted at the top journal in the field of Machine Learning, Transactions on Machine Learning Research(TMLR).

Author: Yuichi Kondo , Hideaki Iiduka
Title: Accelerating SGDM via Learning Rate and Batch Size Schedules: A Lyapunov-Based Analysis, Transactions on Machine Learning Research, July 2026
 
Japanese version