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(1956); Massart (1990)) Given a natural numbern, let Z1, Z2,

Then, we show that under perfect alignment, our algorithm’s expected regret on the|H|independent instances of the multi-armed online learning problem is equivalent to its expected regret on the two-armed online contextual learning problem w · 1956

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Learning to Decide with AI Assistance under Human-Alignment

cs.LG · 2026-05-12 · accept · novelty 7.0

Alignment between AI and human confidence reduces the complexity of learning optimal binary decisions with AI assistance, lowering regret from Ω(√(|H|·|B|·T)) to O(√(|H|·T log T)) under perfect alignment.

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  • Learning to Decide with AI Assistance under Human-Alignment cs.LG · 2026-05-12 · accept · none · ref 13

    Alignment between AI and human confidence reduces the complexity of learning optimal binary decisions with AI assistance, lowering regret from Ω(√(|H|·|B|·T)) to O(√(|H|·T log T)) under perfect alignment.