Methods › General › Markov Chain Monte Carlo › CSGLD
Contour Stochastic Gradient Langevin Dynamics
CSGLD
Introduced by Wei Deng et al. in A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Simulations of multi-modal distributions can be very costly and often lead to unreliable predictions. To accelerate the computations, we propose to sample from a flattened distribution to accelerate the computations and estimate the importance weights between the original distribution and the flattened distribution to ensure the correctness of the distribution.
Papers archive 2025-07-28
2 shown of 2, 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.
-
Interacting Contour Stochastic Gradient Langevin Dynamics 20 Feb 2022 · 1 repository · arXiv:2202.09867
-
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
Tasks archive 2025-07-28
The archive attaches no task to a paper tagged with this method.
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