Kevin Leyton-Brown
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| title | conference | date |
|---|---|---|
| Learning as a Tool for Algorithm Design and Beyond-Worst-Case Analysis | Learning, Algorithm Design and Beyond Worst-Case Analysis | 2016-11-14 |
Shows that a learned empirical hardness model (features → runtime) predicts run time of black‑box SAT and MIP solvers with RMS error often <1 (i.e., better… | ||
| Incentive Auctions and Spectrum Repacking | Algorithmic Game Theory and Practice 2015 | 2015-11-16 |
Reverse auction feasibility testing must answer whether removing one of ~3,000 TV stations still allows a global repacking under ~3 million interference… | ||
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