NIPS Proceedingsβ

Andriy Mnih

8 Papers

  • Filtering Variational Objectives (2017)
  • REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models (2017)
  • Variational Memory Addressing in Generative Models (2017)
  • Learning word embeddings efficiently with noise-contrastive estimation (2013)
  • Learning Label Trees for Probabilistic Modelling of Implicit Feedback (2012)
  • A Scalable Hierarchical Distributed Language Model (2008)
  • Probabilistic Matrix Factorization (2007)
  • Wormholes Improve Contrastive Divergence (2003)