NIPS Proceedingsβ

Neil D. Lawrence

13 Papers

  • Fast Variational Inference in the Conjugate Exponential Family (2012)
  • Efficient inference in matrix-variate Gaussian models with \iid observation noise (2011)
  • Variational Gaussian Process Dynamical Systems (2011)
  • Switched Latent Force Models for Movement Segmentation (2010)
  • Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes (2008)
  • Efficient Sampling for Gaussian Process Inference using Control Variables (2008)
  • Sparse Convolved Gaussian Processes for Multi-output Regression (2008)
  • Modelling transcriptional regulation using Gaussian Processes (2006)
  • Semi-supervised Learning via Gaussian Processes (2004)
  • Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data (2003)
  • Fast Sparse Gaussian Process Methods: The Informative Vector Machine (2002)
  • Optimising Synchronisation Times for Mobile Devices (2001)
  • Approximating Posterior Distributions in Belief Networks Using Mixtures (1997)
  • 2 Books

  • Advances in Neural Information Processing Systems 28 (2015)
  • Advances in Neural Information Processing Systems 27 (2014)