Co-occurring keywords · papers mentioning both
Papers
Exact learning curves for Gaussian process regression on large random graphs
NeurIPS 2010
Hierarchical Gaussian Process Regression
ACML 2010
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation
NeurIPS 2010
Sparse Spectrum Gaussian Process Regression
JMLR 2010
Gaussian process regression with Student-t likelihood
NeurIPS 2009
Kernels and learning curves for Gaussian process regression on random graphs
NeurIPS 2009
Lattice Regression
NeurIPS 2009
Local Gaussian Process Regression for Real Time Online Model Learning
NeurIPS 2008
Robust Submodular Observation Selection
JMLR 2008
Active Policy Learning for Robot Planning and Exploration under Uncertainty
RSS 2007
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
RSS 2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
NeurIPS 2007
Robust Regression with Twinned Gaussian Processes
NeurIPS 2007
Selecting Observations against Adversarial Objectives
NeurIPS 2007
A Unifying View of Sparse Approximate Gaussian Process Regression
JMLR 2005