Search Results for author: Dmitry Koralev

Found 1 papers, 0 papers with code

RSN: Randomized Subspace Newton

no code implementations NeurIPS 2019 Robert Gower, Dmitry Koralev, Felix Lieder, Peter Richtarik

We develop a randomized Newton method capable of solving learning problems with huge dimensional feature spaces, which is a common setting in applications such as medical imaging, genomics and seismology.

Cannot find the paper you are looking for? You can Submit a new open access paper.