What is recorded here?
Updates a single miscoverage parameter from observed errors to adapt prediction sets online, with long-run realized coverage-frequency analysis and finite-horizon discrepancy bounds.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Long-run empirical frequency differs from per-time marginal or conditional coverage, and can require empty/full sets under endpoint conventions. Stronger local tracking needs further distributional assumptions; step size trades responsiveness for volatility. V1 notation conventions were not independently implemented or certified.
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People and systems
Isaac Gibbs; Emmanuel J. Candès
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Adaptive Conformal Inference: online miscoverage feedback under shift
Updates a single miscoverage parameter from observed errors to adapt prediction sets online, with long-run realized coverage-frequency analysis and finite-horizon discrepancy bounds.
Scientific scope
Long-run empirical frequency differs from per-time marginal or conditional coverage, and can require empty/full sets under endpoint conventions. Stronger local tracking needs further distributional assumptions; step size trades responsiveness for volatility. V1 notation conventions were not independently implemented or certified.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Isaac Gibbs; Emmanuel J. Candès
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.