Alphabeta Math
RemarkRemark: Literature-sourcedProof: AI-adaptedPipeline-generated
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

A high ELBO alone does not certify posterior calibration

Remark

The numerical value of an ELBO depends on the scale of the unnormalized target. It alone is not a bound on posterior discrepancy, calibration, or downstream error. Here a calibration guarantee means a separately proved property of repeated-sampling coverage or posterior-probability calibration; it is not defined by the ELBO. Under AC, the library KL identity controls the gap log⁡Z−ELBO⁡(q) through the reverse divergence, when that gap is known.

Facts & Assumptions

Given: A measurable γ≥0 with Z∈(0,∞) and an admissible q for which Q=qμ differs from Π=(γ/Z)μ. The rescaling argument is choice-free; assume AC only for the library KL interpretation in the final step.

[F1]

Variational family and evidence lower bound: admissibility requires support on {π>0} and finite ∫q(∣log⁡γ∣+∣log⁡q∣)dμ.

[F2]

Variational family and evidence lower bound: ELBO⁡(q)=∫q(log⁡γ−log⁡q)dμ for an admissible q.

[F3]

Evidence lower bound is log evidence minus reverse KL: under its hypotheses and AC, log⁡Z=ELBO⁡(q)+D(Q∥Π).

[F4]

Monotonicity and nonnegative homogeneity of the nonnegative integral: multiplying a nonnegative measurable function by a positive finite scalar multiplies its integral by the same scalar.

[F5]

Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: log⁡:(0,∞)→R is onto and satisfies log⁡(ab)=log⁡a+log⁡b for positive a,b.

[A1]

The Axiom of Choice: AC is assumed for the library KL interpretation only.

Verification

Given: The hypotheses in the Statement.

1.1F1F4F5chooseconstructalgebra

Fix any c∈R. By the onto clause of [F5], choose a>0 with log⁡a=c. Define γc=aγ. Homogeneity [F4] gives Zc=∫γcdμ=aZ, so πc=γc/Zc=π and both Q and Π remain unchanged. Since πc=π, the support condition in [F1] is unchanged. On the q-support, ∣log⁡γc∣≤∣log⁡γ∣+∣c∣, so the logarithmic integrability condition remains finite.

2.1F2F5step 1.1algebra

On the q-support the logarithm product law [F5] gives log⁡γc=log⁡γ+c. Using [F2], ELBO⁡c(q)=∫q(log⁡γ+c−log⁡q)dμ=ELBO⁡(q)+c. Since c is arbitrary, the absolute ELBO can be made arbitrarily large while Q, Π, and any fixed discrepancy between them stay unchanged.

3.1A1F3step 2.1∎

Under [A1], the decomposition [F3] gives log⁡Z−ELBO⁡(q)=D(Q∥Π). Without control of log⁡Z, a separate calibration theorem, or another posterior-discrepancy bound, the absolute ELBO alone supplies no calibration guarantee.

Depends on

Used by

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Dependency tree · two levels

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Sources