3 citations · 4 across the 2 of their papers we have counts for
3 papers
Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness
Sahra Ghalebikesabi, Rob Cornish, Luke J. Kelly +1
We propose a variational autoencoder architecture to model both ignorable and nonignorable missing data using pattern-set mixtures as proposed by Little (1993). Our model explicitl…
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
Rob Cornish, Anthony L. Caterini, George Deligiannidis +1
We show that normalising flows become pathological when used to model targets whose supports have complicated topologies. In this scenario, we prove that a flow must become arbitra…
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté +2
Bayesian inference via standard Markov Chain Monte Carlo (MCMC) methods is too computationally intensive to handle large datasets, since the cost per step usually scales like $Θ(n)…