NIPS Proceedingsβ

Frank Wood

11 Papers

  • Bayesian Distributed Stochastic Gradient Descent (2018)
  • Faithful Inversion of Generative Models for Effective Amortized Inference (2018)
  • Learning Disentangled Representations with Semi-Supervised Deep Generative Models (2017)
  • Bayesian Optimization for Probabilistic Programs (2016)
  • Asynchronous Anytime Sequential Monte Carlo (2014)
  • Hierarchically Supervised Latent Dirichlet Allocation (2011)
  • Probabilistic Deterministic Infinite Automata (2010)
  • Characterizing neural dependencies with copula models (2008)
  • Dependent Dirichlet Process Spike Sorting (2008)
  • Particle Filtering for Nonparametric Bayesian Matrix Factorization (2006)
  • Modeling Neural Population Spiking Activity with Gibbs Distributions (2005)