Bayesian Optimization with Robust Bayesian Neural Networks
Bayesian Optimization with Robust Bayesian Neural Networks
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Introduction to Bayesian optimization
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Introduction to Bayesian optimization
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Bayesian optimization is a method used to optimize complex functions that are expensive or time-consuming to evaluate. It is widely applied in machine learning, engineering, and scientific research to improve efficiency and precision, particularly in scenarios like hyperparameter tuning and experimental design. ✔️ Efficient Function Evaluation: Bayesian optimization minimizes costly evaluations, making it ideal for scenarios where each evaluation has a high resource cost. ✔️ Versatility: It hand
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Bayesian optimization is a method used to optimize complex function…
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🏗️ Did you know concrete production accounts for 8% of all global CO2 emissions? To address this impact, we developed a new open source AI tool that accelerates the discovery of sustainable concrete mixtures—making them stronger, more eco-friendly, and faster to deploy. The tool uses Bayesian optimization, powered by Meta’s BoTorch and Ax frameworks, and was developed in collaboration with Amrize and University of Illinois Urbana-Champaign. The AI tool has already been put to work—helping us de
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