NIPS Proceedingsβ

Yee Whye Teh

10 Papers

  • A hybrid sampler for Poisson-Kingman mixture models (2015)
  • Expectation Particle Belief Propagation (2015)
  • Asynchronous Anytime Sequential Monte Carlo (2014)
  • Distributed Bayesian Posterior Sampling via Moment Sharing (2014)
  • Mondrian Forests: Efficient Online Random Forests (2014)
  • Bayesian Hierarchical Community Discovery (2013)
  • Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space (2013)
  • Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex (2013)
  • Rate-coded Restricted Boltzmann Machines for Face Recognition (2000)
  • Learning to Parse Images (1999)