#sg-mcmc

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fromHackernoon
1 week ago

Application of SGRLD to Large-Scale Ocean Temperature Data: The Argo Case Study | HackerNoon

The proposed SG-MCMC method is applied to analyze ocean temperature data, demonstrating its efficacy against competing methods like NNGP, especially in large spatial datasets.
Data science
fromHackernoon
6 months ago

Breaking the iid Barrier: How Stochastic Gradients Are Going Spatial | HackerNoon

Stochastic gradient (SG) methods have become essential in handling large datasets, providing efficient gradient estimates using subsamples, thus improving scalability for Bayesian inference.
Data science
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