Browsing by Author "Ghahramani, Zoubin"
Now showing items 7-18 of 18
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Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
(JMLR.org, Microtome Publishing, 2015) -
Linear Dimensionality Reduction: Survey, Insights, and Generalizations
(MIT Press, 2015-12-01) -
MCMC for Variationally Sparse Gaussian Processes
(Neural Information Processing Systems Foundation, 2015-12-07) -
The Mondrian Kernel
(Association for Uncertainty in Artificial Intelligence Press, Association for Uncertainty in Artificial Intelligence Press, 2016-06-29)We introduce the Mondrian kernel, a fast $\textit{random feature}$ approximation to the Laplace kernel. It is suitable for both batch and online learning, and admits a fast kernel-width-selection procedure as the random ... -
Neural Adaptive Sequential Monte Carlo
(Curran Associates, 2015)Sequential Monte Carlo (SMC), or particle filtering, is a popular class of methods for sampling from an intractable target distribution using a sequence of simpler intermediate distributions. Like other importance ... -
Particle Gibbs for Infinite Hidden Markov Models
(Curran Associates, 2015-12-18)Infinite Hidden Markov Models (iHMM’s) are an attractive, nonparametric generalization of the classical Hidden Markov Model which can automatically infer the number of hidden states in the system. However, due to the ... -
Practical Probabilistic Programming with Monads
(ACM, ACM, 2015-07-30) -
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
(JMLR.org, JMLR, 2015-06-01) -
Probabilistic machine learning and artificial intelligence
(NPG, 2015-05-27) -
R/BHC: fast Bayesian hierarchical clustering for microarray data
(BioMed Central, 2009-08-06) -
Scalable Variational Gaussian Process Classification
(JMLR.org, JMLR, 2015-02-21)
