VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity
Summary: VEGA uses active-tuning with group-wise granularity to simplify distribution and tighten lookup bounds. A memory-budget framework merges key grouping with online key repositioning to achieve strong theory and empirical lookup/build performance. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Meng Li
- 2. Huayi Chai
- 3. Siqiang Luo
- 4. Haipeng Dai
- 5. Rong Gu
- 6. Jiaqi Zheng
- 7. Guihai Chen
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