Markov Chain Monte Carlo
Replica exchange stochastic gradient Langevin Dynamics
Introduced by Deng et al. in Non-convex Learning via Replica Exchange Stochastic Gradient MCMCreSGLD 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.
Source: Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Papers
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
