gaussian process regression

Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023 Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data L4DC 2023 Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023 Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023 Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023 Surveillance Evasion Through Bayesian Reinforcement Learning AISTATS 2023 Contraction rates for sparse variational approximations in Gaussian process regression JMLR 2022 Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022 Gauss-Legendre Features for Gaussian Process Regression JMLR 2022 Giga-scale Kernel Matrix-Vector Multiplication on GPU NeurIPS 2022 How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI 2022 Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations JMLR 2022 Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022 Sparse Additive Gaussian Process Regression JMLR 2022 Structure-Preserving Learning Using Gaussian Processes and Variational Integrators L4DC 2022 Understanding Dynamic Tactile Sensing for Liquid Property Estimation RSS 2022 Consistency of Gaussian Process Regression in Metric Spaces JMLR 2021 Data-Efficient Reinforcement Learning for Malaria Control IJCAI 2021 Gaussian Process-Based Real-Time Learning for Safety Critical Applications ICML 2021 Geometric convergence of elliptical slice sampling ICML 2021 Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system L4DC 2021 Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021 Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach L4DC 2021 Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer Interspeech 2021 Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021