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gaussian processes

89 papers

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GP GPR GPS PGP

Co-occurring keywords

gaussian process (1198) variational inference (2069) bayesian inference (1904) bayesian optimization (623) sparse approximation (76) kernel methods (1096) active learning (1295) markov chain monte carlo (724) expectation propagation (86) bayesian regression (25)

Papers

Multi-task Gaussian Process Prediction NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Bundle Methods for Machine Learning NIPS 2007
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
Bayesian Co-Training NIPS 2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
The Generalized FITC Approximation NIPS 2007
Gaussian and Wishart Hyperkernels NIPS 2006
Relational Learning with Gaussian Processes NIPS 2006
Modelling transcriptional regulation using Gaussian Processes NIPS 2006
Stochastic Relational Models for Discriminative Link Prediction NIPS 2006
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo NIPS 2006