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Gaussian Processes

568 directly classified papers

Papers per year

Papers

Gaussian processes with monotonicity information AISTATS 2010
Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010
Bayesian Gaussian Process Latent Variable Model AISTATS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
Variational Gaussian-process factor analysis for modeling spatio-temporal data NIPS 2009
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NIPS 2009
Gaussian process regression with Student-t likelihood NIPS 2009
Stable and Efficient Gaussian Process Calculations JMLR 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Kernels and learning curves for Gaussian process regression on random graphs NIPS 2009
Multi-task Gaussian Process Learning of Robot Inverse Dynamics NIPS 2008
Sparse Convolved Gaussian Processes for Multi-output Regression NIPS 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NIPS 2008
Local Gaussian Process Regression for Real Time Online Model Learning NIPS 2008
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NIPS 2008
Modeling human function learning with Gaussian processes NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008
Bayesian Kernel Shaping for Learning Control NIPS 2008
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NIPS 2007