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Faster Lasso regression
Fit a Lasso regression on a 1990 × 3980 random design faster than scikit-learn, reaching the same objective value to within 1e-5.
| 1 | { |
| 2 | "domain": "computer-science", |
| 3 | "topics": [ |
| 4 | "scientific-computing" |
| 5 | ], |
| 6 | "type": "algorithm", |
| 7 | "benchmark": { |
| 8 | "task": "Fit Lasso (alpha = 0.1) on a 1990 × 3980 design faster than scikit-learn", |
| 9 | "metric": { |
| 10 | "name": "Speed-up over the reference implementation (×)", |
| 11 | "better": "higher" |
| 12 | }, |
| 13 | "baseline": { |
| 14 | "name": "Reference implementation", |
| 15 | "score": 1 |
| 16 | } |
| 17 | }, |
| 18 | "source": { |
| 19 | "key": "algotune", |
| 20 | "name": "AlgoTune", |
| 21 | "url": "https://github.com/oripress/AlgoTune/tree/main/AlgoTuneTasks/lasso", |
| 22 | "id": "lasso", |
| 23 | "curator": "Ori Press and the AlgoTune contributors", |
| 24 | "poser": "Ori Press et al. (AlgoTune)", |
| 25 | "status": "open", |
| 26 | "as_of": "2026-10-20", |
| 27 | "catalog": "0521c19bbd38" |
| 28 | } |
| 29 | } |