DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression.
Jovana MitrovicDino SejdinovicYee Whye TehPublished in: CoRR (2016)
Keyphrases
- sparse bayesian learning
- gaussian processes
- support vector
- regression model
- sparse kernel
- efficient computation
- kernel ridge regression
- random variables
- simple linear
- kernel methods
- bayesian networks
- model selection
- gaussian distribution
- artificial bee colony algorithm
- neural network
- posterior probability
- relevance vector machine
- pre computed
- probability density function
- posterior distribution
- bayesian inference
- regression analysis
- bayesian learning
- prior distribution
- regression method
- online learning
- gaussian process
- support vector regression
- numerical integration
- model averaging
- probability mass
- support vector machine
- probability distribution