Extension of the Poincaré-inequality-based convergence argument to general regularizers
Ascertain whether the convergence proof based on the Poincaré inequality for Gaussian measures, which establishes weak convergence of the marginal law in the entropic-regularized gradient flow setting, can be extended to handle general Gibbs regularizers U beyond the Gaussian case.
References
It is not clear whether this argument can be extended to the case with a general regularizer U, whereas this paper develops a new technique based on LaSalle's invariance principle and the HWI inequality, which allows us to prove the convergence for general U in the Wasserstein-2 metric, and moreover we observe that in the highly regularized case this convergence is exponential, see Theorem 2.11.
— Mean-Field Langevin Dynamics and Energy Landscape of Neural Networks
(1905.07769 - Hu et al., 2019) in Section 1.2 (Theoretical Contributions and Literature Review), p. 6