NIPS Proceedingsβ

Trevor Campbell

6 Papers

  • Sparse Variational Inference: Bayesian Coresets from Scratch (2019)
  • Universal Boosting Variational Inference (2019)
  • Coresets for Scalable Bayesian Logistic Regression (2016)
  • Edge-exchangeable graphs and sparsity (2016)
  • Streaming, Distributed Variational Inference for Bayesian Nonparametrics (2015)
  • Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture (2013)