Stochastic distributed learning with gradient quantization and double-variance reduction, Samuel Horváth, Dmitry Kovalev, Konstantin Mishchenko, Peter Richtárik, Sebastian Stich
Samuel Horváth

Stochastic distributed learning with gradient quantization and double-variance reduction, Samuel Horváth, Dmitry Kovalev, Konstantin Mishchenko, Peter Richtárik, Sebastian Stich
Machine Learning Faculty Publications

On Scaled Methods for Saddle Point Problems, Aleksandr Beznosikov, Aibek Alanov, Dmitry Kovalev, Martin Takac, Alexander Gasnikov
Martin Takac

On Scaled Methods for Saddle Point Problems, Aleksandr Beznosikov, Aibek Alanov, Dmitry Kovalev, Martin Takac, Alexander Gasnikov
Machine Learning Faculty Publications