SOURCE-LINKED INTELLIGENCE
A Generalization of Amari's Bayesian Duality
Amari's contributions to information geometry and machine learning are well known. Here, we revisit Amari's work on Bayesian duality which has not received as much attention. We connect Amari's Bayesian duality to a convex duality of Bayes' rule. Using this connection, we present a generalization of Amari's Bayesian duality and discuss its relevance for modern artificial intelligence.
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T17:51:08.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.