DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression.
Jovana MitrovicDino SejdinovicYee Whye TehPublished in: ICML (2016)
Keyphrases
- sparse bayesian learning
- efficient computation
- kernel ridge regression
- simple linear
- gaussian processes
- sparse kernel
- support vector
- numerical integration
- exact computation
- bayesian networks
- support vector machine
- probability distribution
- relevance vector machine
- gaussian distribution
- kernel methods
- regression model
- artificial bee colony algorithm
- bayesian learning
- expected error
- regression function
- prior distribution
- reproducing kernel hilbert space
- posterior distribution
- density function
- support vector regression
- bayesian inference
- maximum likelihood
- online learning