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Gaussian Processes

570 papers

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Papers

Mind the Nuisance: Gaussian Process Classification using Privileged Noise NIPS 2014
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NIPS 2014
Fast Kernel Learning for Multidimensional Pattern Extrapolation NIPS 2014
Probabilistic ODE Solvers with Runge-Kutta Means NIPS 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014
Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014
Avoiding pathologies in very deep networks AISTATS 2014
Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014
Tilted Variational Bayes AISTATS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014
Accelerating ABC methods using Gaussian processes AISTATS 2014
Fast Allocation of Gaussian Process Experts ICML 2014
Gaussian Process Optimization with Mutual Information ICML 2014
Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014
Learning Latent Variable Gaussian Graphical Models ICML 2014
Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Efficient Optimization for Sparse Gaussian Process Regression NIPS 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NIPS 2013