Abstract
We prove a convergence theorem for stochastic gradient descents on manifolds with adaptive learning rate and apply it to the weighted low-rank approximation problem.
Abstract (translated)
我们证明了具有自适应学习率的流形上随机梯度下降的收敛性定理,并将其应用于加权低秩近似问题。
URL
https://arxiv.org/abs/2503.11833