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Langevin Algorithms Based on Non-Smooth Constraints
Langevin Algorithms Based on Non-Smooth Constraints
PulseAugur coverage of Langevin Algorithms Based on Non-Smooth Constraints — every cluster mentioning Langevin Algorithms Based on Non-Smooth Constraints across labs, papers, and developer communities, ranked by signal.
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New algorithms tackle constrained sampling in machine learning · 2 sources tracked
Two new research papers introduce novel algorithms for constrained sampling in machine learning. The first, "Reflected Anchored Langevin Algorithms," presents a method called RALD that can converge to non-differentiable…
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New Error Estimates for SDE Schemes Aid Non-Log-Concave Sampling
Researchers have developed new error estimation frameworks for numerical schemes used in stochastic differential equations (SDEs). These frameworks provide finite-time, non-asymptotic error bounds for tamed unadjusted L…