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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

Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption AAAI 2020
Fourier Sparse Leverage Scores and Approximate Kernel Learning NIPS 2020
Generalised Bayesian Filtering via Sequential Monte Carlo NIPS 2020
Data-driven confidence bands for distributed nonparametric regression COLT 2020
Scalable Gaussian Process Regression Networks IJCAI 2020
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic AAAI 2020
Neuronal Gaussian Process Regression NIPS 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis AISTATS 2020
Discovering Latent Covariance Structures for Multiple Time Series ICML 2019
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver ICML 2019
Scalable High-Order Gaussian Process Regression AISTATS 2019
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data MIDL 2019
Embarrassingly Parallel Inference for Gaussian Processes JMLR 2019
Energy-efficient Path Planning for Ground Robots by and Combining Air and Ground Measurements CORL 2019
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NIPS 2019
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes MLHC 2019
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis AISTATS 2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression ICML 2018
Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis MLHC 2018
Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018
Patchwork Kriging for Large-scale Gaussian Process Regression JMLR 2018
Learning Robust Gaussian Process Regression for Visual Tracking IJCAI 2018
Prediction Performance After Learning in Gaussian Process Regression AISTATS 2017
Surface Motion Capture Transfer With Gaussian Process Regression CVPR 2017