10 citations · 24 across the 8 of their papers we have counts for
3 papers · 2 filters
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models
Michael Minyi Zhang, Sinead A. Williamson, Fernando Perez-Cruz
Inference of latent feature models in the Bayesian nonparametric setting is generally difficult, especially in high dimensional settings, because it usually requires proposing feat…
Parallel Markov Chain Monte Carlo for the Indian Buffet Process
Michael M. Zhang, Avinava Dubey, Sinead A. Williamson
Indian Buffet Process based models are an elegant way for discovering underlying features within a data set, but inference in such models can be slow. Inferring underlying features…
Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Sinead A. Williamson
Training Gaussian process-based models typically involves an computational bottleneck due to inverting the covariance matrix. Popular methods for overcoming this matrix i…