Bregman Divergences #
Generalized vector-valued Bregman divergences bregDiv f x y J (notation: D_[f](x, y, J)
in scoped Bregman) measure the error of the linear approximation of f around y.
They satisfy algebraic properties linked to derivatives, including chain rules,
product rules, affine invariance, and convexity preservation.
Main definitions #
bregDiv f x y J: The generalized vector-valued Bregman divergencef x - f y - J (x - y)for a functionf : E → Fand a continuous linear mapJ : E →L[R] F(e.g. a derivative, gradient, or subgradient).
Notation #
D_[f](x, y, J): Scoped notation inBregmanforbregDiv f x y J.
The generalized vector-valued Bregman divergence.
f maps E → F. J is the Jacobian / subgradient continuous linear mapping E →L[R] F.
Instances For
Scoped notation for bregDiv.
Equations
- One or more equations did not get rendered due to their size.
Instances For
Eta-expanded form of bregDiv_add
Eta-expanded form of bregDiv_neg
First-order product rule for Bregman divergences.
Eta-expanded form of bregDiv_mul
First-order product rule for Bregman divergences.
If f is convex on s, then x ↦ D_[f](x, y, J) is convex on s for any
continuous linear map J.