Quants see promise in Bayesian machine learning
Risk USA: probability theory may hold key to creating ‘self-aware’ AI
A 250-year-old mathematical theory could be used to create ‘self-aware’ machine learning systems that understand when they are out of their depth, according to a panel of senior quants.
Bayes’ theorem, named after the 18th century UK mathematician Thomas Bayes, is widely used to infer the probability of a hypothesis holding true as more information becomes available.
“The Bayesian paradigm allows you to actually get a hint that maybe the data the model has been trained on is not relevant
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