Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations.
Stephen L. KeeleyDavid L. ZoltowskiYiyi YuSpencer L. SmithJonathan W. PillowPublished in: ICML (2020)
Keyphrases
- gaussian process
- data sets
- bayesian framework
- data analysis
- prior knowledge
- input data
- probabilistic model
- high dimensional data
- covariance function
- subject specific
- gaussian process regression
- bayesian methods
- approximate inference
- incomplete data
- random variables
- generative model
- data points
- probability distribution
- machine learning