inducing variable

New Bounds for Sparse Variational Gaussian Processes ICML 2025 Actually Sparse Variational Gaussian Processes AISTATS 2023 Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023 Variational Gaussian processes for linear inverse problems NeurIPS 2023 Contraction rates for sparse variational approximations in Gaussian process regression JMLR 2022 Learning to Learn Dense Gaussian Processes for Few-Shot Learning NeurIPS 2021 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations AISTATS 2021 Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021 Convergence of Sparse Variational Inference in Gaussian Processes Regression JMLR 2020 Generic Inference in Latent Gaussian Process Models JMLR 2019 Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019 Heterogeneous Multi-output Gaussian Process Prediction NeurIPS 2018 On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016