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Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo.
Marton Havasi
José Miguel Hernández-Lobato
Juan José Murillo-Fuentes
Published in:
NeurIPS (2018)
Keyphrases
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monte carlo
gaussian processes
stochastic gradient
gaussian process
markov chain
importance sampling
markov chain monte carlo
multi task
probabilistic inference
hyperparameters
bayesian inference
step size
bayesian networks
model selection
particle filter
latent variables
regression model
maximum likelihood