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¶
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