Implements the Hierarchical Incremental GRAdient Descent (HiGrad) algorithm, a first-order algorithm for finding the minimizer of a function in online learning just like stochastic gradient descent (SGD). In addition, this method attaches a confidence interval to assess the uncertainty of its predictions. See Su and Zhu (2018) <arXiv:1802.04876> for details.
|Author||Weijie Su [aut], Yuancheng Zhu [aut, cre]|
|Maintainer||Yuancheng Zhu <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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