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Creators/Authors contains: "Nalisnick, Eric"

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  1. ; ; ; ; (, Uncertainty in Artificial Intelligence (UAI))
    Accepted Manuscript Full Text Available
  2. ; ; (, Annual Review of Statistics and Its Application)
    We expose the statistical foundations of deep learning with the goal of facilitating conversation between the deep learning and statistics communities. We highlight core themes at the intersection; summarize key neural models, such as feedforward neural networks, sequential neural networks, and neural latent variable models; and link these ideas to their roots in probability and statistics. We also highlight research directions in deep learning where there are opportunities for statistical contributions. 
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