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hyperparameter inference

3 papers

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Co-occurring keywords · papers mentioning both

bayesian optimization (2) gaussian process (2) bayesian inference (2) nested sampling (1) hyperparameter uncertainty (1) neural network (1) mixture of gaussian (1) hierarchical prior (1) kernel function (1) regression task (1)

Papers

Marginalised Gaussian Processes with Nested Sampling NeurIPS 2021 Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters NeurIPS 2020 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012