Abstract: Bayesian optimization (BO), a data-efficient method for expensive black-box optimization, has traditionally focused on single-task scenarios, ignoring potential correlations among related ...

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Abstract: Video processing for real-time analytics in resource-constrained environments presents a significant challenge in balancing energy consumption and video semantics. This paper addresses the ...

This repository is associated with the paper Multi-Objective Causal Bayesian Optimization, jointly written at the University of Cambridge and the Technical University of Munich (TUM). We propose multi ...