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06/16/2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
Learning the kernel parameters for Gaussian processes is often the compu...
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03/17/2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
Learning precise surrogate models of complex computer simulations and ph...
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10/21/2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport
Despite recent advances in automated machine learning, model selection i...
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02/14/2022