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Sketching Linear Classifiers over Data Streams

Summary: Weight-Median Sketch: sub-linear space for learning compressed linear classifiers over data streams, enabling recovery of large weights under memory limits. Unlike frequency-based sketches, it targets discriminative features via gradient-based updates with recovery guarantees, yielding improved memory-accuracy over count-sketches and feature hashing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5576
Venue
SIGMOD
Year
2018
Pagerank
7.226439e-05
Overall Rank
3,319 | 76.92%
DOI
10.1145/3183713.3196930

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