Uniqueness conjecture for maximizing Bregman divergence on one side of a codimension-one family
Uniqueness conjecture for maximizing Bregman divergence on one side of a codimension-one family
Let be the finite sample space, let satisfy , and let be the exponential family associated with a function such that . Define
Uniqueness conjecture. The map
has a unique local and global maximizer. For a codimension-one exponential family, this predicts uniqueness of the maximizing distribution on each side of the family, complementing the stated fact that there are precisely two local maximizers overall, one on each side. Whether this uniqueness holds in the Bregman-divergence setting is left open by the source.
Sources & referencesView supporting material
Primary source
Johannes Rauh and František Matúš, “Maximizing the Bregman divergence from a Bregman family”, arXiv:2001.08813 (2020).
Progress summary
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