NIPS Proceedingsβ

Andrew G. Wilson

8 Papers

  • Bayesian GAN (2017)
  • Bayesian Optimization with Gradients (2017)
  • Scalable Levy Process Priors for Spectral Kernel Learning (2017)
  • Scalable Log Determinants for Gaussian Process Kernel Learning (2017)
  • Stochastic Variational Deep Kernel Learning (2016)
  • The Human Kernel (2015)
  • Fast Kernel Learning for Multidimensional Pattern Extrapolation (2014)
  • Copula Processes (2010)