Alphabeta Math

Empirical-Bernstein confidence sequences under adaptive sampling

About this page
Pipeline-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.

✓ 1 result · all verified · 1 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs; all 1 also cleared it.
1 · Prerequisites
Abstract Algebra
Combinatorics
Linear Algebra
Mathematical Statistics
Measure Theory
Numerical Linear Algebra and Approximation
Probability
Real Analysis
Set Theory
Topology
2 · Logical flowchart

3 · Items

Definition

One-sided sub-exponential uniform boundary

Definition

Confidence sequence for a time-varying target

Algorithm

Empirical-Bernstein confidence-sequence interval update

Theorem

Empirical-Bernstein confidence sequence under adaptive sampling

Sources