Training neural networks using Metropolis Monte Carlo and an adaptive variant.
Stephen WhitelamViktor SelinIan BenloloCorneel CasertIsaac TamblynPublished in: Mach. Learn. Sci. Technol. (2022)
Keyphrases
- monte carlo
- neural network
- training process
- training algorithm
- monte carlo simulation
- markov chain monte carlo
- monte carlo tree search
- importance sampling
- simulation study
- markov chain
- conditional density estimation
- artificial neural networks
- monte carlo methods
- markovian decision
- back propagation
- simulated annealing
- genetic algorithm
- training set
- temporal difference
- adaptive sampling
- monte carlo method
- training samples
- point processes
- stochastic approximation
- machine learning
- kernel methods
- quasi monte carlo
- bayesian networks
- game tree search
- variance reduction
- active learning
- supervised learning
- particle filter