The Case for Collaboration
It's 2025, and the answer to every database performance or optimization problem is ''machine learning.'' But what kinds of models are appropriate for these applications? I'm going to try to convince you that, as in good system design, ''simpler is better.'' And, in this case, simpler has many benefits: simpler models are typically more efficient in both space and time, they are frequently transparently interpretable, and in many domains, they produce accuracy and generalization equivalent to the fanciest deep learning model you can build.
Authors
- Margo Seltzer (ORCID: https://orcid.org/0000-0002-2165-4658)
Institutions
- University of British Columbia (CA)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1145/3722212.3724424
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00