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· 2010 · arXiv 2014.233984

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
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cs.LG 2

years

2026 1 2022 1

verdicts

UNVERDICTED 2

representative citing papers

Realizable Bayes-Consistency for General Metric Losses

cs.LG · 2026-05-05 · unverdicted · novelty 8.0

Necessary and sufficient conditions for realizable Bayes-consistency under general metric losses are the absence of infinite non-decreasing (γ_k)-Littlestone trees with γ_k → ∞.

Metric-valued regression

cs.LG · 2022-02-07 · unverdicted · novelty 7.0

First strongly Bayes-consistent algorithm for metric-valued regression with unbounded loss in the agnostic setting, based on metric medoids and semi-stable compression.

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Showing 2 of 2 citing papers.

  • Realizable Bayes-Consistency for General Metric Losses cs.LG · 2026-05-05 · unverdicted · none · ref 20

    Necessary and sufficient conditions for realizable Bayes-consistency under general metric losses are the absence of infinite non-decreasing (γ_k)-Littlestone trees with γ_k → ∞.

  • Metric-valued regression cs.LG · 2022-02-07 · unverdicted · none · ref 13

    First strongly Bayes-consistent algorithm for metric-valued regression with unbounded loss in the agnostic setting, based on metric medoids and semi-stable compression.