activity
20182023
most citedConjugate-gradient-based Adam for stochastic optimization and its application to deep learning

5 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing math.NAShow all

1 paper · 1 filter

math.NA2023

Modified memoryless spectral-scaling Broyden family on Riemannian manifolds

Hiroyuki Sakai, Hideaki Iiduka

This paper presents modified memoryless quasi-Newton methods based on the spectral-scaling Broyden family on Riemannian manifolds. The method involves adding one parameter to the s…