Oct 2026
An inertial acceleration stochastic three-term conjugate gradient algorithm for machine learning
This study aims to develop a stochastic optimization algorithm that accelerates and stabilizes convergence in large-scale nonconvex machine learning problems. Motivated by the limitations of stochastic gradient descent and existing stochastic conjugate gradient methods, we propose an inertial-accelerated framework...
Meng-Qi Pan, Yi-Jia Wang, Shao-Liang Shi et al.
· Engineering computations · 0 citations