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math.OC2025
Gradient flow in the kernel learning problem
Yang Li, Feng Ruan
This is a sequel to our paper `On the kernel learning problem'. We identify a canonical choice of Riemannian gradient flow, to find the stationary points in the kernel learning pro…
math.OC2024
On the Uniform Convergence of Subdifferentials in Stochastic Optimization and Learning
Feng Ruan
We investigate the uniform convergence of subdifferential mappings from empirical risk to population risk in nonsmooth, nonconvex stochastic optimization. This question is key to u…