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Contour Stochastic Gradient Langevin Dynamics

CSGLD

2 papers tagged archive 2025-07-28

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.

PaperSourceSee Code · WayneDW/Contour-Stochastic-Gradient-Langevin-Dynamics

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.

Tasks archive 2025-07-28

The archive attaches no task to a paper tagged with this method.

Usage over time archive 2025-07-28

Papers per year tagged with CSGLD: 2020 to 2022, peak 1 1 0 2020: 1 paper 2020 2021: 0 papers 2021 2022: 1 paper 2022
Papers per year the archive tags with this method, by the paper's archive date (2 dated). Bars are counts, not a trend claim.

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

Markov Chain Monte Carlo

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