arxiv
PublishedOctober 9, 2026 at 4:00 AM
Credal Machine Learning for Risk-Averse Decision Making
Publisher summary· verbatim
arXiv:2610.12115v1 Announce Type: new Abstract: In many machine learning applications, it is necessary to guard against worst-case scenarios and predictions that could result in substantial losses. In principle, this can be achieved by training risk-averse predictive models that minimize loss functi
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Originally published on arxiv ↗