Central Limit Theorems for Stochastic Gradient Descent Quantile Estimators
arXiv:2503.02178v2 Announce Type: replace-cross
Abstract: This paper develops asymptotic theory for quantile estimation via stochastic gradient descent (SGD) with a constant learning rate. The quantile loss function is neither smooth nor strongly conv…