covariance function

Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes JMLR 2026 Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach ICML 2025 Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data JMLR 2025 Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations NeurIPS 2022 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks JMLR 2021 Accelerated Bayesian Optimisation through Weight-Prior Tuning AISTATS 2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020 Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NeurIPS 2020 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020 Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020 Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019 Tensor Regression Meets Gaussian Processes AISTATS 2018 A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017 Linearly constrained Gaussian processes NeurIPS 2017 Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression ICML 2017 pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015 Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014 A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012 Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011 Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Sparse Spectrum Gaussian Process Regression JMLR 2010 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009