Diana Cai
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Finite mixture models are typically inconsistent for the number of components
Finite mixture models are typically inconsistent for the number of components
Paintboxes and probability functions for edge-exchangeable graphs
In NeurIPS 2016 Workshop on Adaptive and Scalable Nonparametric Methods in Machine Learning
Completely random measures for modeling power laws in graphs
Edge-exchangeable graphs and sparsity
In NeurIPS 2015 Workshop on Networks in the Social and Information Sciences
Edge-exchangeable graphs, sparsity, and power laws
In NeurIPS 2015 Workshop on Bayesian Nonparametrics
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