Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions

Aryeh Kontorovich, Sivan Sabato, Roi Weiss

Nov-21-2025, 11:51:44 GMT–Neural Information Processing Systems

We show that in finite-dimensional metric spaces, KSU is both computationally efficient and Bayes-consistent.

algorithm, artificial intelligence, machine learning, (18 more...)

Neural Information Processing Systems

Nov-21-2025, 11:51:44 GMT

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Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Statistical Learning
    - Nearest Neighbor Methods (0.46)
  - Representation & Reasoning (1.00)

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