Kinetic Langevin MCMC sampling without gradient Lipschitz continuity -- the strongly convex case

Cites Work

Laplace's method revisited: Weak convergence of probability measures
A convex/log-concave correlation inequality for Gaussian measure and an application to abstract Wiener spaces
On sampling from a log-concave density using kinetic Langevin diffusions
On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case
The tamed unadjusted Langevin algorithm
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
Proximal mappings and Moreau envelopes of single-variable convex piecewise cubic functions and multivariable gauge functions
Higher order Langevin Monte Carlo algorithm
Entropic multipliers method for Langevin diffusion and weighted log Sobolev inequalities
Couplings and quantitative contraction rates for Langevin dynamics
Nonasymptotic convergence analysis for the unadjusted Langevin algorithm
Nonasymptotic estimates for stochastic gradient Langevin dynamics under local conditions in nonconvex optimization
Practical Aspects of the Moreau--Yosida Regularization: Theoretical Preliminaries
Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau
On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case
Convex analysis and monotone operator theory in Hilbert spaces
On explicit \(L^2\)-convergence rate estimate for underdamped Langevin dynamics
A strongly monotonic polygonal Euler scheme
Almost sure contraction for diffusions on \(\mathbb{R}^d\). Application to generalized Langevin diffusions
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms