AI RESEARCH
POP: Prior-Fitted First-Order Optimization Policies
arXiv CS.LG
•
ArXi:2602.15473v2 Announce Type: replace Gradient-based optimizers are highly sensitive to design choices in their adaptive learning rate mechanisms. To address this limitation, we