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

Artificial intelligence-driven design of fuel mixtures, Nursulu Kuzhagaliyeva, Samuel Horváth, John Williams, Andre Nicolle, S. Mani Sarathy
Samuel Horváth

Artificial intelligence-driven design of fuel mixtures, Nursulu Kuzhagaliyeva, Samuel Horváth, John Williams, Andre Nicolle, S. Mani Sarathy
Machine Learning Faculty Publications

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

Natural Compression for Distributed Deep Learning, Samuel Horváth, Chen Yu Ho, Horváth L'udovít, Atal Narayan Sahu, Marco Canini, Peter Richtárik
Machine Learning Faculty Publications

Granger Causality using Neural Networks, Samuel Horváth, Malik Shahid Sultan, Hernando Ombao
Machine Learning Faculty Publications

FedShuffle: Recipes for Better Use of Local Work in Federated Learning, Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael Rabbat
Machine Learning Faculty Publications