Differentiable Kernel Ridge Regression for Deep Learning Pipelines
arXiv:2605.02313v1 Announce Type: new
Abstract: Deep neural networks dominate modern machine learning, while alternative function approximators remain comparatively underexplored at scale. In this work, we revisit kernel methods as drop-in components …