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gaussian process

1200 papers

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Also known as

GP

Co-occurring keywords

variational inference (2069) bayesian optimization (624) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) gaussian processes (89) regret bound (1926) active learning (1301) sparse approximation (76) hyperparameter optimization (406)

Papers

Deep Gaussian Processes AISTATS 2013
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013
Gaussian Process Vine Copulas for Multivariate Dependence ICML 2013
Active Learning for Multi-Objective Optimization ICML 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
Bayesian 3D Tracking from Monocular Video ICCV 2013
Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes ICCV 2013
Topology-Constrained Layered Tracking with Latent Flow ICCV 2013
Collaborative Gaussian Processes for Preference Learning NIPS 2012
A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Variational Multinomial Logit Gaussian Process JMLR 2012
Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012
Random Search for Hyper-Parameter Optimization JMLR 2012
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012
Linear Regression With Random Projections JMLR 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012