gaussian process

Graph-Structured Gaussian Processes for Transferable Graph Learning NeurIPS 2023 Gray-Box Gaussian Processes for Automated Reinforcement Learning ICLR 2023 Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023 Human spatiotemporal pattern learning as probabilistic program synthesis NeurIPS 2023 Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023 Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023 Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023 Interactive Segmentation As Gaussion Process Classification CVPR 2023 Isotropic Gaussian Processes on Finite Spaces of Graphs AISTATS 2023 Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition JMLR 2023 Learning Causal Models under Independent Changes NeurIPS 2023 Learning Choice Functions with Gaussian Processes UAI 2023 Learning Curves for Deep Structured Gaussian Feature Models NeurIPS 2023 Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases IJCAI 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023 Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023 Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression NeurIPS 2023 Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains ICML 2023 Markovian Gaussian Process Variational Autoencoders ICML 2023 Martingale Posterior Neural Processes ICLR 2023 Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction ICLR 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023 MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability NeurIPS 2023 Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023 Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023