Variational Inference for Gaussian Process Modulated Poisson Processes.

Chris M. Lloyd Tom Gunter Michael A. Osborne Stephen J. Roberts

Published in: ICML (2015)

Keyphrases

gaussian process
variational inference
poisson process
gaussian processes
bayesian nonparametric
regression model
bayesian framework
model selection
semi supervised
approximate inference
latent variables
hyperparameters
dimensionality reduction
bayesian inference