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gaussian process regression

140 papers

GPR GP REGRESSION

Papers

Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric L4DC 2021 Actively Learning Gaussian Process Dynamics L4DC 2020 Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020 BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic AAAI 2020 Data-driven confidence bands for distributed nonparametric regression COLT 2020 Fourier Sparse Leverage Scores and Approximate Kernel Learning NeurIPS 2020 Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020 L1-GP: L1 Adaptive Control with Bayesian Learning L4DC 2020 Neuronal Gaussian Process Regression NeurIPS 2020 On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis AISTATS 2020 Parametric Gaussian Process Regressors ICML 2020 Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption AAAI 2020 Scalable Gaussian Process Regression Networks IJCAI 2020 Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020 Discovering Latent Covariance Structures for Multiple Time Series ICML 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 GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver ICML 2019 Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes MLHC 2019 Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data MIDL 2019 Scalable High-Order Gaussian Process Regression AISTATS 2019 Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NeurIPS 2019 Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis MLHC 2018 Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression ICML 2018 Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis AISTATS 2018