Amplification
nounid
4731·updated May 18, 2026verified
Let [construct space] 𝑌 ′ and [prediction space] 𝑌ˆ be categorical. Then, a model exhibits disparity amplification if 𝑑tv (𝑌ˆ |𝑍=0,𝑌ˆ |𝑍=1) 𝑑tv (𝑌 ′ |𝑍=0,𝑌 ′ |𝑍=1). dtv is the total variation distance defined as follows. Let 𝑌0 and 𝑌1 be categorical random variables with finite supports Y0 and Y1. Then, the total variation distance between 𝑌0 and 𝑌1 is 𝑑tv (𝑌0,𝑌1) = 12 Σ︁ 𝑦∈Y0∪Y1 Pr[𝑌0=𝑦] − Pr[𝑌1=𝑦] . In the special case where 𝑌0,𝑌1 ∈ {0, 1}, the total variation distance can also be expressed as | Pr[𝑌0=1] − Pr[𝑌1=1] |.
polysemous
Attested in
No recorded attestations. They are written when an MWE tagging stage is completed, stamped with the pack version and the document’s digest.
Classifications
Entity Type
Vulnerability72%llm-generatedllm:claude-haiku-4-5
Sensitivity
unclassified
Information Class
unclassified
Variants
- synonym
- elaborationgain
- plural
- Amplifications
- possessive
- Amplification's
- pluralpossessive
- Amplifications'
Framework definitions
- §1
- [an act of amplifying, which is] to make larger or greater (as in amount, importance, or intensity).
- §1
- Let [construct space] 𝑌 ′ and [prediction space] 𝑌ˆ be categorical. Then, a model exhibits disparity amplification if 𝑑tv (𝑌ˆ |𝑍=0,𝑌ˆ |𝑍=1) 𝑑tv (𝑌 ′ |𝑍=0,𝑌 ′ |𝑍=1). dtv is the total variation distance defined as follows. Let 𝑌0 and 𝑌1 be categorical random variables with finite supports Y0 and Y1. Then, the total variation distance between 𝑌0 and 𝑌1 is 𝑑tv (𝑌0,𝑌1) = 12 Σ︁ 𝑦∈Y0∪Y1 Pr[𝑌0=𝑦] − Pr[𝑌1=𝑦] . In the special case where 𝑌0,𝑌1 ∈ {0, 1}, the total variation distance can also be expressed as | Pr[𝑌0=1] − Pr[𝑌1=1] |.
- §1
- (electronics) the act of increasing voltage or power or current
- §2
- addition of extra material or illustration or clarifying detail
- §3
- the amount of increase in signal power or voltage or current expressed as the ratio of output to input
- §1 · legacy_primary
- Let [construct space] 𝑌 ′ and [prediction space] 𝑌ˆ be categorical. Then, a model exhibits disparity amplification if 𝑑tv (𝑌ˆ |𝑍=0,𝑌ˆ |𝑍=1) 𝑑tv (𝑌 ′ |𝑍=0,𝑌 ′ |𝑍=1). dtv is the total variation distance defined as follows. Let 𝑌0 and 𝑌1 be categorical random variables with finite supports Y0 and Y1. Then, the total variation distance between 𝑌0 and 𝑌1 is 𝑑tv (𝑌0,𝑌1) = 12 Σ︁ 𝑦∈Y0∪Y1 Pr[𝑌0=𝑦] − Pr[𝑌1=𝑦] . In the special case where 𝑌0,𝑌1 ∈ {0, 1}, the total variation distance can also be expressed as | Pr[𝑌0=1] − Pr[𝑌1=1] |.DR-088 backfill from the noun definition column
Outgoing relationships
No outgoing triples
This term is not the subject of any RDF-style relationship yet.
Incoming relationships
No incoming triples
No other term currently asserts a relationship to this one.