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This page serves as a communication centre. For a community of researchers working on. Methods that assign probability distributions. To the unknown result of deterministic computations. Tübingen and Michael A Osborne,. Taking this observation seriously, a probabilistic numerical method is a numerical algorithm that takes in a probability distribution over its inputs, and returns a probability distribution over its output.
This site collects and presents results from an ongoing research effort to construct optimization algorithms from a probabilistic basis. Extremum of a complicated, unknown function; but just finding one. Local minimum of a relatively simple but very high-dimensional function can also be a formidable challenge. Probabilistic optimization algorithms can . Make efficient use of information. Both by choosing evaluation points efficiently, and by making efficient.
This website serves as a repository of links and information about probabilistic programming languages, including both academic research spanning theory, algorithms, modeling, and systems, as well as implementations, evaluations, and applications. If you would like to contribute to this site, please contact Daniel Roy.
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8220;Simple explanations are better than complex explanations.