Co-occurring keywords · papers mentioning both
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