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20082013
most citedKronecker Graphs: An Approach to Modeling Networks

738 citations · 1.3k across the 14 of their papers we have counts for

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Showing 2012Show all

7 papers · 1 filter

cs.LG201255 cited

On the Convergence of Bound Optimization Algorithms

Ruslan R Salakhutdinov, Sam T Roweis, Zoubin Ghahramani

Many practitioners who use the EM algorithm complain that it is sometimes slow. When does this happen, and what can be done about it? In this paper, we study the general class of b…

cs.AI201227 cited

SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases

Simon Lacoste-Julien, Konstantina Palla, Alex Davies +3

The Internet has enabled the creation of a growing number of large-scale knowledge bases in a variety of domains containing complementary information. Tools for automatically align…

cs.LG2012

Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms

Iain Murray, Zoubin Ghahramani

Bayesian learning in undirected graphical models|computing posterior distributions over parameters and predictive quantities is exceptionally difficult. We conjecture that for gene…

stat.ME2012

Bayesian Inference for Gaussian Mixed Graph Models

Ricardo Silva, Zoubin Ghahramani

We introduce priors and algorithms to perform Bayesian inference in Gaussian models defined by acyclic directed mixed graphs. Such a class of graphs, composed of directed and bi-di…

cs.LG201213 cited

Variable noise and dimensionality reduction for sparse Gaussian processes

Edward Snelson, Zoubin Ghahramani

The sparse pseudo-input Gaussian process (SPGP) is a new approximation method for speeding up GP regression in the case of a large number of data points N. The approximation is con…

cs.LG201221 cited

A Non-Parametric Bayesian Method for Inferring Hidden Causes

Frank Wood, Thomas Griffiths, Zoubin Ghahramani

We present a non-parametric Bayesian approach to structure learning with hidden causes. Previous Bayesian treatments of this problem define a prior over the number of hidden causes…