arXiv cs.NE
· Papers
Gradient-Free Warm-Start Library Recovery: an Amortized-Regret Separation
arXiv:2606.21253v2 Announce Type: replace-cross Abstract: Continual learning that is gradient-free, local, online, and append-only is attractive for edge and streaming deployment, but its value is usually argued informally. We give a provable account on recurring-regime streams. Given segmentation, a warm-start library