NIPS Proceedingsβ

Dustin Tran

9 Papers

  • Bayesian Layers: A Module for Neural Network Uncertainty (2019)
  • Discrete Flows: Invertible Generative Models of Discrete Data (2019)
  • Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language (2018)
  • Mesh-TensorFlow: Deep Learning for Supercomputers (2018)
  • Simple, Distributed, and Accelerated Probabilistic Programming (2018)
  • Hierarchical Implicit Models and Likelihood-Free Variational Inference (2017)
  • Variational Inference via $\chi$ Upper Bound Minimization (2017)
  • Operator Variational Inference (2016)
  • Copula variational inference (2015)