100 citations · 204 across the 32 of their papers we have counts for
3 papers · 1 filter
Data augmentation for models based on rejection sampling
Vinayak Rao, Lizhen Lin, David Dunson
We present a data augmentation scheme to perform Markov chain Monte Carlo inference for models where data generation involves a rejection sampling algorithm. Our idea, which seems…
Learning Subspaces of Different Dimension
Brian St. Thomas, Lizhen Lin, Lek-Heng Lim +1
We introduce a Bayesian model for inferring mixtures of subspaces of different dimensions. The key challenge in such a mixture model is specification of prior distributions over su…
Robust and Scalable Bayes via a Median of Subset Posterior Measures
Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin +1
We propose a novel approach to Bayesian analysis that is provably robust to outliers in the data and often has computational advantages over standard methods. Our technique is base…