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.

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Published
2025-06-17
DOI
https://doi.org/10.1145/3722212.3724424
Primary Topic
Data Quality and Management
Type
article
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article

The Case for Collaboration

Margo Seltzer
Data Quality and Management
article

The Case for Collaboration

Margo Seltzer
article en

Abstract

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.

University of British Columbia (CA)
Openalex Percentile: Top 84%
Data Quality and Management
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The Case for Collaboration — Margo Seltzer · (2025) | TGRS Research Map | TGRS