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2026 1

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Networked Information Aggregation for Binary Classification

cs.LG · 2026-05-01 · unverdicted · novelty 6.0

Sequential prediction passing on DAGs for logistic regression yields O(M/sqrt(D)) excess loss when M-agent windows cover all features, with Omega(k/D) lower bound identifying depth as the fundamental limit.

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  • Networked Information Aggregation for Binary Classification cs.LG · 2026-05-01 · unverdicted · none · ref 3

    Sequential prediction passing on DAGs for logistic regression yields O(M/sqrt(D)) excess loss when M-agent windows cover all features, with Omega(k/D) lower bound identifying depth as the fundamental limit.