no code implementations • 19 Jul 2017 • James Ridgway
In this paper we develop theoretical bounds for the distance between the statistics used in ABC.
no code implementations • 28 Jun 2017 • Pierre Alquier, James Ridgway
While Bayesian methods are extremely popular in statistics and machine learning, their application to massive datasets is often challenging, when possible at all.
no code implementations • 12 Jun 2015 • Pierre Alquier, James Ridgway, Nicolas Chopin
We consider instead variational approximations of the Gibbs posterior, which are fast to compute.
no code implementations • NeurIPS 2014 • James Ridgway, Pierre Alquier, Nicolas Chopin, Feng Liang
We also extend our method to a class of non-linear score functions, essentially leading to a nonparametric procedure, by considering a Gaussian process prior.