NIPS Proceedingsβ

Emily Fox

8 Papers

  • A Complete Recipe for Stochastic Gradient MCMC (2015)
  • Expectation-Maximization for Learning Determinantal Point Processes (2014)
  • Stochastic variational inference for hidden Markov models (2014)
  • Approximate Inference in Continuous Determinantal Processes (2013)
  • Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data (2012)
  • Multiresolution Gaussian Processes (2012)
  • Sharing Features among Dynamical Systems with Beta Processes (2009)
  • Nonparametric Bayesian Learning of Switching Linear Dynamical Systems (2008)