SGLD
PulseAugur coverage of SGLD — every cluster mentioning SGLD across labs, papers, and developer communities, ranked by signal.
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Canonical JEM models show indistinguishable performance between PC and SGLD samplers
Researchers have investigated the performance of two sampling methods, Predictor-Corrector (PC) and Stochastic Gradient Langevin Dynamics (SGLD), when applied to Canonical Joint Energy-Based Models (JEM) on the CIFAR-10…
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New RELTA-SGLD scheme stabilizes stochastic-gradient learning
Researchers have introduced RELTA-SGLD, a new taming scheme designed to stabilize stochastic-gradient updates in nonconvex settings. This method aims to reduce unnecessary suppression of learning drift by employing a th…
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New RELTA-SGLD method stabilizes SGLD for nonconvex learning
Researchers have developed RELTA-SGLD, a novel taming scheme designed to stabilize stochastic-gradient Langevin dynamics (SGLD) with superlinear growth. This method uses a threshold to activate taming and a relative-gro…