research
∙
02/29/2020
Dimension-free convergence rates for gradient Langevin dynamics in RKHS
Gradient Langevin dynamics (GLD) and stochastic GLD (SGLD) have attracte...
share
research
∙
02/10/2020
Missing Data Imputation using Optimal Transport
Missing data is a crucial issue when applying machine learning algorithm...
research
∙
05/24/2019
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections
Sliced Wasserstein metrics between probability measures solve the optima...
research
∙
05/19/2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
Embedding complex objects as vectors in low dimensional spaces is a long...
research
∙
09/22/2016