13 citations · 13 across the 2 of their papers we have counts for
2 papers
math.OC2019★ 13 cited
Adaptive Gradient Descent for Convex and Non-Convex Stochastic Optimization
Darina Dvinskikh, Aleksandr Ogaltsov, Alexander Gasnikov +3
In this paper we propose several adaptive gradient methods for stochastic optimization. Unlike AdaGrad-type of methods, our algorithms are based on Armijo-type line search and they…
stat.ME2018
Gaussian processes with multidimensional distribution inputs via optimal transport and Hilbertian embedding
Francois Bachoc, Alexandra Suvorikova, David Ginsbourger +2
In this work, we investigate Gaussian Processes indexed by multidimensional distributions. While directly constructing radial positive definite kernels based on the Wasserstein dis…