A Generalization of Amari's Bayesian Duality
[Sztuczna inteligencja] Autorzy: Mohammad Emtiyaz Khan, Thomas Möllenhoff
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.
- Kategoria arxiv
- cs.AI
- Kategoria
- Sztuczna inteligencja