We revisit the problem of recovering a low-rank positive semidefinite ma...
We describe an efficient algorithm to compute solutions for the general
...
This paper is devoted to the construction of a new fast-to-evaluate mode...
We consider the task of generating exact samples from a target distribut...
We establish the first tight lower bound of Ω(loglogκ) on the
query comp...
This work presents an algorithm to sample from the Wasserstein barycente...
Conventional wisdom in the sampling literature, backed by a popular diff...
We propose a new method for smoothly interpolating probability measures ...
Stein Variational Gradient Descent (SVGD), a popular sampling algorithm,...
In the context of regression, we consider the fundamental question of ma...
We consider the problem of achieving fairness in a regression framework....
Motivated by the problem of sampling from ill-conditioned log-concave
di...
This work establishes fast rates of convergence for empirical barycenter...
This paper provides rates of convergence for empirical barycenters of a ...
This paper provides rates of convergence for empirical barycentres of a ...
In this paper, we define and study a new notion of stability for the
k-m...
We study shortest paths and their distances on a subset of a Euclidean s...
Given a geodesic space (E, d), we show that full ordinal knowledge on th...