In this second episode of the Quantcast Master’s Series – part of Risk.net ’s Tomorrow’s Quants project – we speak to Laura Ballotta, director of the MS c in Quantitative Finance at Bayes Business ...

Key takeaway: When learning over discrete prompts used in modern vision-language models, classical PAC-Bayes bounds turn out to be remarkably tight — significantly tighter than prior PAC-Bayes results ...

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Abstract: Methods based on variational bayes theorytare widely used to detect community structures in networks. In recent years, many related methods have emerged that provide valuable insights into ...

Abstract: In this work, we have developed a variational Bayesian inference theory of elasticity, which is accomplished by using a mixed Variational Bayesian inference Finite Element Method (VBI-FEM) ...

Effective communication between humans and machines requires artificial tools to adopt a human-like social perspective. The Theory of Mind (ToM) enables understanding ...

The Bayesian set off on a leisurely cruise around Italy's southern coast on a sunny day in late July. The luxurious super yacht − which boasted one of the largest masts in the world and carried a crew ...

Security camera footage from 650 feet from where the Bayesian superyacht sank Monday shows it slowly disappearing. In the chilling video, the lights from the boat go out of view as the storm rages. A ...

In decision-making, habitual behavior has always been seen as separate from goal-directed behavior. Habitual behaviors are automatic responses, deeply ingrained through experience. Like riding a bike ...