The paper proposes skew-reflected non-reversible Langevin dynamics and claims faster constrained sampling than projected Langevin Monte Carlo, with non-asymptotic bounds that are only partly justified.
Analysis and Geometry of Markov Diffusion Operators , volume 103
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Non-Reversible Langevin Algorithms for Constrained Sampling
The paper proposes skew-reflected non-reversible Langevin dynamics and claims faster constrained sampling than projected Langevin Monte Carlo, with non-asymptotic bounds that are only partly justified.