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Uniform-in-$N$ log-Sobolev inequality for the mean-field Langevin dynamics with convex energy

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arxiv 2409.10440 v1 pith:477KFXEA submitted 2024-09-16 math.PR

classification math.PR
keywords dynamicsinequalitylangevinlog-sobolevmean-fieldconstantconvexdistribution
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abstract

We establish a log-Sobolev inequality for the stationary distribution of mean-field Langevin dynamics with a constant that is independent of the number of particles $N$. Our proof proceeds by establishing the existence of a Lipschitz transport map from the standard Gaussian measure via the reverse heat flow of Kim and Milman.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Linear convergence of proximal descent schemes on the Wasserstein space

    math.OC 2024-11 conditional novelty 7.0 of 10

    Linear convergence of JKO-based proximal point, prox-linear, and proximal gradient schemes is proved for entropy-regularized flat-convex functionals, with iterates shown to have finite relative Fisher information.

  2. Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics

    cs.LG 2025-06 reject novelty 5.0 of 10

    A differentially private particle-gradient algorithm generates continuous-time synthetic trajectories from one snapshot per person, but its headline recovery rate applies only to a non-private infinite-particle idealization.

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