inducing point

Personalized Federated Learning With Gaussian Processes NeurIPS 2021 Probabilistic selection of inducing points in sparse Gaussian processes UAI 2021 Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition ICML 2021 Doubly Sparse Variational Gaussian Processes AISTATS 2020 Functional Regularisation for Continual Learning with Gaussian Processes ICLR 2020 Sparse Orthogonal Variational Inference for Gaussian Processes AISTATS 2020 Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019 Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation AAAI 2019 Constant-Time Predictive Distributions for Gaussian Processes ICML 2018 Convolutional Gaussian Processes NeurIPS 2017 Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017 Deep Kernel Learning AISTATS 2016 Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015 MCMC for Variationally Sparse Gaussian Processes NeurIPS 2015 Scalable Variational Gaussian Process Classification AISTATS 2015 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Fast Allocation of Gaussian Process Experts ICML 2014 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013