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Risk-Controlling Prediction Sets through upper-confidence calibration

Calibrates nested set-valued predictors using pointwise risk upper bounds and a monotonic selection rule to obtain high-probability control of population loss.

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Calibrates nested set-valued predictors using pointwise risk upper bounds and a monotonic selection rule to obtain high-probability control of population loss.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Requires i.i.d. held-out calibration, monotone loss/nested sets and suitable concentration/continuity conditions; not arbitrary drift or conditional correctness for every input. Distinct from CRC expectation guarantee; inherited concentration bounds are not newly invented. First three authors equal. Biological/medical applications excluded.

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People and systems

Stephen Bates; Anastasios Angelopoulos; Lihua Lei; Jitendra Malik; Michael I. Jordan

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

Risk-Controlling Prediction Sets through upper-confidence calibration

Calibrates nested set-valued predictors using pointwise risk upper bounds and a monotonic selection rule to obtain high-probability control of population loss.

Scientific scope

Requires i.i.d. held-out calibration, monotone loss/nested sets and suitable concentration/continuity conditions; not arbitrary drift or conditional correctness for every input. Distinct from CRC expectation guarantee; inherited concentration bounds are not newly invented. First three authors equal. Biological/medical applications excluded.

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

Stephen Bates; Anastasios Angelopoulos; Lihua Lei; Jitendra Malik; Michael I. Jordan

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.

Original sources