1 Dual Analytics, Geistthal-Södingberg, Austria. 2 Chair of Mathematics and Statistics, Montanuniversität Leoben, Leoben, Austria. 3 Materials Center Leoben Forschung GmbH, Leoben, Austria. 4 ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

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: This paper introduces CausalBO, a Python package developed to enhance the applicability and utility of the Causal Bayesian Optimization (CBO) algorithm. The original CBO algorithm, developed ...

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