2 papers
stat.CO2016
On numerical approximation schemes for expectation propagation
Alexis Roche
Several numerical approximation strategies for the expectation-propagation algorithm are studied in the context of large-scale learning: the Laplace method, a faster variant of it,…
stat.CO2015
Composite Bayesian inference
Alexis Roche
We revisit and generalize the concept of composite likelihood as a method to make a probabilistic inference by aggregation of multiple Bayesian agents, thereby defining a class of…