625 citations · 2.7k across the 69 of their papers we have counts for
3 papers · 2 filters
Manifold Relevance Determination
Andreas Damianou, Carl Ek, Michalis Titsias +1
In this paper we present a fully Bayesian latent variable model which exploits conditional nonlinear(in)-dependence structures to learn an efficient latent representation. The late…
Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models
Alfredo Kalaitzis, Neil Lawrence
Probabilistic principal component analysis (PPCA) seeks a low dimensional representation of a data set in the presence of independent spherical Gaussian noise. The maximum likeliho…
Fast Variational Inference in the Conjugate Exponential Family
James Hensman, Magnus Rattray, Neil D. Lawrence
We present a general method for deriving collapsed variational inference algo- rithms for probabilistic models in the conjugate exponential family. Our method unifies many existing…