6 citations · 6 across the 2 of their papers we have counts for
7 papers
Transportation-Based Functional ANOVA and PCA for Covariance Operators
Valentina Masarotto, Victor M. Panaretos, Yoav Zemel
We consider the problem of comparing several samples of stochastic processes with respect to their second-order structure, and describing the main modes of variation in this second…
Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees
Florian Heinemann, Axel Munk, Yoav Zemel
We propose a hybrid resampling method to approximate finitely supported Wasserstein barycenters on large-scale datasets, which can be combined with any exact solver. Nonasymptotic…
Limit Laws for Empirical Optimal Solutions in Stochastic Linear Programs
Marcel Klatt, Axel Munk, Yoav Zemel
We consider a general linear program in standard form whose right-hand side constraint vector is subject to random perturbations. This defines a stochastic linear program for which…
Bayesian semiparametric modelling of phase-varying point processes
Bastian Galasso, Yoav Zemel, Miguel de Carvalho
We propose a Bayesian semiparametric approach for registration of multiple point processes. Our approach entails modelling the mean measures of the phase-varying point processes wi…
Statistical Aspects of Wasserstein Distances
Victor M. Panaretos, Yoav Zemel
Wasserstein distances are metrics on probability distributions inspired by the problem of optimal mass transportation. Roughly speaking, they measure the minimal effort required to…
Optimal Transport: Fast Probabilistic Approximation with Exact Solvers
Max Sommerfeld, Jörn Schrieber, Yoav Zemel +1
We propose a simple subsampling scheme for fast randomized approximate computation of optimal transport distances. This scheme operates on a random subset of the full data and can…