603 citations · 1.2k across the 5 of their papers we have counts for
5 papers
MCMC for doubly-intractable distributions
Iain Murray, Zoubin Ghahramani, David MacKay
Markov Chain Monte Carlo (MCMC) algorithms are routinely used to draw samples from distributions with intractable normalization constants. However, standard MCMC algorithms do not…
Elliptical slice sampling
Iain Murray, Ryan Prescott Adams, David J. C. MacKay
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mon…
Nonparametric Bayesian Density Modeling with Gaussian Processes
Ryan Prescott Adams, Iain Murray, David J. C. MacKay
We present the Gaussian process density sampler (GPDS), an exchangeable generative model for use in nonparametric Bayesian density estimation. Samples drawn from the GPDS are consi…
Fast and flexible selection with a single switch
Tamara Broderick, David John Cameron MacKay
Selection methods that require only a single-switch input, such as a button click or blink, are potentially useful for individuals with motor impairments, mobile technology users,…
Bayesian Online Changepoint Detection
Ryan Prescott Adams, David J. C. MacKay
Changepoints are abrupt variations in the generative parameters of a data sequence. Online detection of changepoints is useful in modelling and prediction of time series in applica…