2 papers
stat.ML2026
Quantitative Local Convergence of Mean-Field Stein Variational Gradient Flow
Lénaïc Chizat, Maria Colombo, Roberto Colombo +1
Stein Variational Gradient Descent (SVGD) is a deterministic interacting-particle method for sampling from a target probability measure given access to its score function. In the m…
math.OC2025
Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions
Lénaïc Chizat, Maria Colombo, Xavier Fernández-Real
We study the quantitative convergence of drift-diffusion PDEs that arise as Wasserstein gradient flows of linearly convex functions over the space of probability measures on ${\mat…