2.6k citations · 11.1k across the 96 of their papers we have counts for
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Generalised Wishart Processes
Andrew Gordon Wilson, Zoubin Ghahramani
We introduce a stochastic process with Wishart marginals: the generalised Wishart process (GWP). It is a collection of positive semi-definite random matrices indexed by any arbitra…
Nonparametric Bayesian sparse factor models with application to gene expression modeling
David Knowles, Zoubin Ghahramani
A nonparametric Bayesian extension of Factor Analysis (FA) is proposed where observed data is modeled as a linear superposition, , of a potentially infinit…
Copula Processes
Andrew Gordon Wilson, Zoubin Ghahramani
We define a copula process which describes the dependencies between arbitrarily many random variables independently of their marginal distributions. As an example, we develop a sto…
Tree-Structured Stick Breaking Processes for Hierarchical Data
Ryan Prescott Adams, Zoubin Ghahramani, Michael I. Jordan
Many data are naturally modeled by an unobserved hierarchical structure. In this paper we propose a flexible nonparametric prior over unknown data hierarchies. The approach uses ne…
Learning the Structure of Deep Sparse Graphical Models
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghahramani
Deep belief networks are a powerful way to model complex probability distributions. However, learning the structure of a belief network, particularly one with hidden units, is diff…