conftrace_

covariance kernel

7 papers

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Co-occurring keywords · papers mentioning both

gaussian process (5) stationary kernel (2) non-euclidean space (2) kernel learning (2) bayesian learning (2) symmetric space (1) deep belief net (1) potential energy surface (1) kernel methods (1) non-compact symmetric space (1)

Papers

On the Benefits of Active Data Collection in Operator Learning ICML 2025 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024 A generalization of the randomized singular value decomposition ICLR 2022 Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series ICML 2016 BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007