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Source-pinned research

Research proof index

Search theorem names, mathematical ideas, modules, topics, projects, and role-labelled researchers. Open a result for its complete indexed Lean declaration and source record.

This index contains 2,569 curated research declarations and 119,070 complete package declarations. Search 10,000 more complete Mathlib declarations.

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Showing 661 to 666 of 2,569 results.

Project-declaredLean 4.33.0-rc1

Is PACLearner For mono ε

Cslib.MachineLearning.PACLearning.IsPACLearnerFor.mono_ε

Mathematical statement

A PAC learner with accuracy ε₁ is also a PAC learner with any weaker accuracy ε₂ ≥ ε₁: the bad event {error > opt + ε} only shrinks.

computer sciencecomputabilityprogram semantics

Source project: Lean Computer Science Library

Person-level attribution pending.

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Project-declaredLean 4.33.0-rc1

Set Shatters subset

Cslib.MachineLearning.PACLearning.SetShatters.subset

Mathematical statement

Shattering is anti-monotone in the shattered set: if C shatters W and V ⊆ W, then C shatters V.

computer sciencecomputabilityprogram semantics

Source project: Lean Computer Science Library

Person-level attribution pending.

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Project-declaredLean 4.33.0-rc1

Version Space append

Cslib.MachineLearning.PACLearning.versionSpace_append

Mathematical statement

The version-space meet law. The version space of an appended sample is the intersection of the version spaces of the two parts: constraints accumulate by intersection.

computer sciencecomputabilityprogram semantics

Source project: Lean Computer Science Library

Person-level attribution pending.

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Project-declaredLean 4.33.0-rc1

Posterior has Sum

Cslib.Probability.PMF.posterior_hasSum

Mathematical statement

Posterior probabilities joint(a, b) / marginal(b) sum to 1 when b is in the support of the marginal.

computer sciencecomputabilityprogram semantics

Source project: Lean Computer Science Library

Person-level attribution pending.

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Project-declaredLean 4.33.0-rc1

Posterior Dist eq prior of output Indist

Cslib.Probability.PMF.posteriorDist_eq_prior_of_outputIndist

Mathematical statement

If the output distribution of a channel does not depend on the input, then conditioning on any output with positive probability leaves the prior unchanged.

computer sciencecomputabilityprogram semantics

Source project: Lean Computer Science Library

Person-level attribution pending.

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