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  • title: Asymptotic Properties for Bayesian Neural Network in Besov Space
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            Asymptotic Properties for Bayesian Neural Network in Besov Space
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            Asymptotic Properties for Bayesian Neural Network in Besov Space

            Nov 28, 2022

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            KL

            Kyeongwon Lee

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            Neural networks have shown great predictive power when dealing with various unstructured data such as images and natural languages. The Bayesian neural network captures the uncertainty of prediction by putting a prior distribution for the parameter of the model and computing the posterior distribution. In this paper, we show that the Bayesian neural network using spike-and-slab prior has consistency with nearly minimax convergence rate when the true regression function is in the Besov space. Eve…

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            NeurIPS 2022

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