Abstract: Data Analytics (DA) and Machine Learning (ML) algorithms today are inside many applications and systems. They provide state-of-the-art anomaly detection, pattern recognition, health ...
Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...
Abstract: Automated planning using a symbolic planning language, such as PDDL, is a general approach to producing optimal plans to achieve a stated goal. However, creating suitable machine ...
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