317 citations · 721 across the 36 of their papers we have counts for
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stat.ML2017★ 67 cited
Automated Scalable Bayesian Inference via Hilbert Coresets
Trevor Campbell, Tamara Broderick
The automation of posterior inference in Bayesian data analysis has enabled experts and nonexperts alike to use more sophisticated models, engage in faster exploratory modeling and…
stat.ML2017
Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models
Trevor Campbell, Brian Kulis, Jonathan How
Bayesian nonparametrics are a class of probabilistic models in which the model size is inferred from data. A recently developed methodology in this field is small-variance asymptot…