Methods › General › Markov Chain Monte Carlo › reSGLD
Replica exchange stochastic gradient Langevin Dynamics
reSGLD
Introduced by Wei Deng et al. in Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
reSGLD proposes to simulate a high-temperature particle for exploration and a low-temperature particle for exploitation and allows them to swap simultaneously. Moreover, a correction term is included to avoid biases.
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics 13 May 2024 · 1 repository · arXiv:2405.07839
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A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions 19 Oct 2020 · 2 repositories · arXiv:2010.09800Syntology ran 1 of 2 samples · 1 unverified
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Non-convex Learning via Replica Exchange Stochastic Gradient MCMC 12 Aug 2020 · 2 repositories · arXiv:2008.05367Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Image Classification | 2 |
| image-classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections