IPLA gives KL and Wasserstein convergence guarantees for inexact proximal Langevin sampling of convex potentials with polynomial growth beyond global gradient Lipschitz smoothness.
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Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
IPLA gives KL and Wasserstein convergence guarantees for inexact proximal Langevin sampling of convex potentials with polynomial growth beyond global gradient Lipschitz smoothness.