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gaussian process regression

133 papers

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Also known as

GPR GP REGRESSION

Co-occurring keywords

gaussian process (1200) bayesian inference (1907) uncertainty quantification (1393) variational inference (2069) kernel methods (1097) sparse approximation (76) sparse gaussian process (27) kernel approximation (100) hyperparameter optimization (406) online learning (1777)

Papers

Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017
Multiresolution Kernel Approximation for Gaussian Process Regression NIPS 2017
GP CaKe: Effective brain connectivity with causal kernels NIPS 2017
SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model SEMEVAL 2017
Minimax Approach to Variable Fidelity Data Interpolation AISTATS 2017
Student-t Process Regression with Student-t Likelihood IJCAI 2017
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017
Automatic Evaluation of Children Reading Aloud on Sentences and Pseudowords INTERSPEECH 2017
Slice Sampling on Hamiltonian Trajectories ICML 2016
Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016
Dual Control for Approximate Bayesian Reinforcement Learning JMLR 2016
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo AISTATS 2016
Incremental Variational Sparse Gaussian Process Regression NIPS 2016
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015
WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015
Inference of Cause and Effect with Unsupervised Inverse Regression AISTATS 2015
pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015
Predicting Preference Reversals via Gaussian Process Uncertainty Aversion AISTATS 2015
Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regression CVPR 2015
Statistical Model Criticism using Kernel Two Sample Tests NIPS 2015
Face Alignment Using Cascade Gaussian Process Regression Trees CVPR 2015
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression RSS 2014
Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014