Co-occurring keywords · papers mentioning both
Papers
Approximate Gaussian process inference for the drift function in stochastic differential equations
NeurIPS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
NeurIPS 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels
JMLR 2013
Gaussian Processes for time-marked time-series data
AISTATS 2012
Kernel Bayes' Rule
NeurIPS 2011
Kernel Belief Propagation
AISTATS 2011
Nonparametric Tree Graphical Models
AISTATS 2010
State-Space Inference and Learning with Gaussian Processes
AISTATS 2010
Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference
RSS 2006