Gaussian Processes

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 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009 Kernels and learning curves for Gaussian process regression on random graphs NeurIPS 2009 Stable and Efficient Gaussian Process Calculations JMLR 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 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NeurIPS 2008 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008 Sparse Convolved Gaussian Processes for Multi-output Regression NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NeurIPS 2007 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NeurIPS 2007