gaussian process regression

Learning Robust Gaussian Process Regression for Visual Tracking IJCAI 2018 Patchwork Kriging for Large-scale Gaussian Process Regression JMLR 2018 Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018 Automatic Evaluation of Children Reading Aloud on Sentences and Pseudowords Interspeech 2017 GP CaKe: Effective brain connectivity with causal kernels NeurIPS 2017 Minimax Approach to Variable Fidelity Data Interpolation AISTATS 2017 Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017 Multiresolution Kernel Approximation for Gaussian Process Regression NeurIPS 2017 Prediction Performance After Learning in Gaussian Process Regression AISTATS 2017 SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model SemEval 2017 Student-t Process Regression with Student-t Likelihood IJCAI 2017 Surface Motion Capture Transfer With Gaussian Process Regression CVPR 2017 Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017 Dual Control for Approximate Bayesian Reinforcement Learning JMLR 2016 Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016 Incremental Variational Sparse Gaussian Process Regression NeurIPS 2016 Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo AISTATS 2016 Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016 Slice Sampling on Hamiltonian Trajectories ICML 2016 Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016 A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015 Face Alignment Using Cascade Gaussian Process Regression Trees CVPR 2015 Inference of Cause and Effect with Unsupervised Inverse Regression AISTATS 2015 Predicting Preference Reversals via Gaussian Process Uncertainty Aversion AISTATS 2015 pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015