Tag: constant

Online Inference for Quantiles by Constant Learning-Rate Stochastic Gradient Descent arXiv:2503.02178v1 Announce Type: new Abstract: This paper proposes an online inference method of the stochastic gradient descent (SGD) with a constant learning rate for quantile loss functions with theoretical guarantees. Since the quantile loss function is neither smooth nor strongly convex, we view such SGD…