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matern kernel

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Co-occurring keywords · papers mentioning both

gaussian process (7) bayesian optimization (3) matérn kernel (2) riemannian manifold (2) uncertainty quantification (2) reduced-set expansion (1) kernel methods (1) graph neural network (1) stochastic partial differential equation (1) spectral theory (1)

Papers

Information Theoretic Bayesian Optimization over the Probability Simplex UAI 2026 Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization ICLR 2025 The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025 On the Sublinear Regret of GP-UCB NeurIPS 2023 Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds NeurIPS 2023 Bayesian Optimistic Optimisation with Exponentially Decaying Regret ICML 2021 Matérn Gaussian Processes on Graphs AISTATS 2021 Matérn Gaussian Processes on Riemannian Manifolds NeurIPS 2020 Consistent Kernel Mean Estimation for Functions of Random Variables NeurIPS 2016