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Home/Authors/Jeff A. Bilmes

Jeff A. Bilmes

1 indexed paper

Recent (6 mo)
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Publications per year

1
26

Top categories

ML×1AI×1Vision×1Info Theory×1

Frequent co-authors

Gantavya Bhatt1×
Arnav M. Das1×

Research Timeline

2026
How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions

The paper introduces and analyzes several novel data appraisal metrics, including the Vendi Score and matrix spectral functions, demonstrating that efficient optimization techniques make these metrics feasible for large-scale datasets, though it finds that facility location performs best in predicting held-out performance.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIcs.CVRecentMay 28, 2026

How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions

Jeff A. Bilmes, Gantavya Bhatt, Arnav M. Das

The paper introduces and analyzes several novel data appraisal metrics, including the Vendi Score and matrix spectral functions, demonstrating that efficient optimization techniques make these metrics…

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