gaussian processes

Analytical Results for the Error in Filtering of Gaussian Processes NeurIPS 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Active Instance Sampling via Matrix Partition NeurIPS 2010 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Heavy-Tailed Process Priors for Selective Shrinkage NeurIPS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Slice sampling covariance hyperparameters of latent Gaussian models NeurIPS 2010 Switched Latent Force Models for Movement Segmentation NeurIPS 2010 Bayesian estimation of orientation preference maps NeurIPS 2009 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009 Variational Gaussian-process factor analysis for modeling spatio-temporal data NeurIPS 2009 Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NeurIPS 2008 Bayesian Kernel Shaping for Learning Control NeurIPS 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008 Sparse Convolved Gaussian Processes for Multi-output Regression NeurIPS 2008 Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007