Author

Osvaldo Simeone

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Preprint Jul 2026

Decision Making Needs Uncertainty Quantification [Lecture Notes]

This lecture note develops, from first principles and within a single decision-theoretic setting, the link between the decision objective and the knowledge of an agent and the form of uncertainty representation that is sufficient to act optimally.

Osvaldo Simeone · 3 citations

#artificial intelligence Preprint Aug 2026

Should I Use This Synthetic Dataset for Training? How to Test with Minimal Real Data

Experiments show that aeSFT identifies useful synthetic data using substantially fewer real test samples than mean-based sequential testing, matches the power of fixed-sample sign-flip testing and the paired $t$-test, while keeping the false-positive rate below the target level.

Zhenyu Tao, Wei Xu, Xiaohu You et al. · 0 citations