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Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels.

Gundeep AroraAnupreet PorwalKanupriya AgarwalAvani SamdariyaPiyush Rai
Published in: IJCAI (2018)
Keyphrases
  • nonparametric bayesian
  • mixture modeling
  • monte carlo
  • machine learning
  • learning algorithm
  • prior knowledge
  • dirichlet process