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Why It Matters
Amari's contributions to information geometry and machine learning are well known.
Provenance
Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
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.
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2609.09126v1 · Indexed about 2 hours ago