2 papers
math.OC2019
Heuristic adaptive fast gradient method in stochastic optimization tasks
Alexander Ogaltsov, Alexander Tyurin
In this paper, we present a heuristic adaptive fast gradient method. We show that in practice our method has a better convergence rate than popular today optimization methods. More…
stat.ML2018
Variational learning across domains with triplet information
Rita Kuznetsova, Oleg Bakhteev, Alexandr Ogaltsov
The work investigates deep generative models, which allow us to use training data from one domain to build a model for another domain. We propose the Variational Bi-domain Triplet…