The tradeoffs of large-scale learning¶
Bottou, L., & Bousquet, O. (2008). The tradeoffs of large-scale learning. Advances in Neural Information Processing Systems.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Complexity (Time/Space)
- A software engineer optimizing a search algorithm, a biologist analyzing alignment complexity, and an economist modeling market equilibrium under growing participants all ask: how do costs scale, and where does the approach break
This sourceAnalyzes how learning cost scales with data size and the computational complexity of the underlying optimization, distinguishing small- vs large-scale learning tradeoffs — supports the ML-scaling claims at D30-148 and D30-144. Verified existing and supporting.
- A software engineer optimizing a search algorithm, a biologist analyzing alignment complexity, and an economist modeling market equilibrium under growing participants all ask: how do costs scale, and where does the approach break
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:79bff1c1701c · see in the full table