NIPS Proceedingsβ

Yee Whye Teh

16 Papers

  • Causal Inference via Kernel Deviance Measures (2018)
  • Faithful Inversion of Generative Models for Effective Amortized Inference (2018)
  • Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data (2018)
  • Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects (2018)
  • Stochastic Expectation Maximization with Variance Reduction (2018)
  • Gaussian Processes for Survival Analysis (2016)
  • 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)