Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Testing a numerical library's exception handling is often left to its regression tests. However, designing floating-point inputs that exercise exceptional behavior is difficult. Further-more ...
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