gaussian process

Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Brain covariance selection: better individual functional connectivity models using population prior NeurIPS 2010 Dependent Indian Buffet Processes AISTATS 2010 Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010 Elliptical slice sampling AISTATS 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Gaussian Processes for Machine Learning (GPML) Toolbox JMLR 2010 Gaussian processes with monotonicity information AISTATS 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Heavy-Tailed Process Priors for Selective Shrinkage NeurIPS 2010 Identifying graph-structured activation patterns in networks NeurIPS 2010 Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NeurIPS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Learning via Gaussian Herding NeurIPS 2010 Multi-Task Learning using Generalized t Process AISTATS 2010 Regret Bounds for Gaussian Process Bandit Problems AISTATS 2010 Slice sampling covariance hyperparameters of latent Gaussian models NeurIPS 2010 State-Space Inference and Learning with Gaussian Processes AISTATS 2010 Switched Latent Force Models for Movement Segmentation NeurIPS 2010 Bayesian estimation of orientation preference maps NeurIPS 2009 Gaussian process regression with Student-t likelihood NeurIPS 2009 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009