NIPS Proceedingsβ

Dmitry P. Vetrov

9 Papers

  • A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models (2019)
  • A Simple Baseline for Bayesian Uncertainty in Deep Learning (2019)
  • Importance Weighted Hierarchical Variational Inference (2019)
  • The Implicit Metropolis-Hastings Algorithm (2019)
  • Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs (2018)
  • Structured Bayesian Pruning via Log-Normal Multiplicative Noise (2017)
  • PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions (2016)
  • M-Best-Diverse Labelings for Submodular Energies and Beyond (2015)
  • Tensorizing Neural Networks (2015)