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DBMS Fitting: Why should we learn what we already know?

Summary: Critiques end-to-end DNN replacements for DBMS components as data-hungry and opaque; proposes leveraging differentiable programming to fit components using known algorithmic structure rather than learning behavior from scratch. Case study: fitted cost model for query plans with initial promising results. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
371
Venue
CIDR
Year
2020
Pagerank
4.261445e-05
Overall Rank
9,892 | 31.19%
DOI
-

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