21 citations · 92 across the 18 of their papers we have counts for
4 papers · 1 filter
From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling
Marien Renaud, Valentin De Bortoli, Arthur Leclaire +1
We consider the problem of sampling distributions stemming from non-convex potentials with Unadjusted Langevin Algorithm (ULA). We prove the stability of the discrete-time ULA to d…
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser
Samuel Hurault, Antonin Chambolle, Arthur Leclaire +1
This paper presents a new convergent Plug-and-Play (PnP) algorithm. PnP methods are efficient iterative algorithms for solving image inverse problems formulated as the minimization…
On the potential benefits of entropic regularization for smoothing Wasserstein estimators
Jérémie Bigot, Paul Freulon, Boris P. Hejblum +1
This paper is focused on the study of entropic regularization in optimal transport as a smoothing method for Wasserstein estimators, through the prism of the classical tradeoff bet…
On the Existence of Optimal Transport Gradient for Learning Generative Models
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis +1
The use of optimal transport cost for learning generative models has become popular with Wasserstein Generative Adversarial Networks (WGAN). Training of WGAN relies on a theoretica…