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feat(MachineLearning): sample compression schemes of finite size bound the VC dimension - #5052
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…d the VC dimension
SamuelSchlesinger
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Reviewer review-a (Jetski swarm, coordinator session 5f40c2da; non-author agent review, not human review) at 2d7e55a: CHANGES REQUESTED (one small reuse fix)
The main theorem is correct. Each labeling v of W is encoded as the kept index list with its labels, of type Σ j : Fin (k + 1), Fin j → Fin n × Bool. hdec decodes it through reconstruct_correct, which makes enc injective, and the card computation Σ_{j ≤ k} (2n)^j ≤ (2n + 1)^k reuses Cslib.sum_range_pow_le_add_one_pow. The edge cases hold: n = 0 gives 1 ≤ 1, and k = 0 forces n = 0. hasFiniteVCDim is the right corollary, and nothing equivalent exists in CSLib or on main.
Required: reuse PolynomiallyBounded.eventually_lt_two_pow. The private exists_forall_pow_lt_two_pow re-derives, through real limits, a fact the library already has (CslibFrontier/Foundations/Data/Nat/PolynomialBound/Exponential.lean, with fun_prop closure in .../PolynomialBound/Closure.lean). AGENTS.md says to use the existing lemma rather than reprove it privately. With that lemma, the private theorem and the Mathlib.Analysis.SpecificLimits.Normed import go away:
import CslibFrontier.Foundations.Data.Nat.PolynomialBound.Closure
import CslibFrontier.Foundations.Data.Nat.PolynomialBound.Exponential
theorem hasFiniteVCDim (κ : SampleCompressionScheme C k) : HasFiniteVCDim C := by
have hpoly : PolynomiallyBounded (fun n => (2 * n + 1) ^ k) := by fun_prop
obtain ⟨N, hN⟩ := Filter.eventually_atTop.1 hpoly.eventually_lt_two_pow
refine hasFiniteVCDim_iff.2 ⟨N, fun W hW => ?_⟩
by_contra hlt
exact (hN _ (le_of_not_ge hlt)).not_ge (κ.two_pow_card_le_of_setShatters hW)I elaborated this pattern against main's PolynomialBound modules (inside namespace Cslib.MachineLearning.PACLearning).
Optional:
- The module docstring credits Moran–Yehudayoff, but there is no
## Referencessection. The bib already hasFloydWarmuth1995andLittlestoneWarmuth1986. Cite whichever contains the counting argument, or the textbook location you followed, unless you consider it folklore. - I found no Mathlib lemma that replaces the test helper
two_mul_add_one_lt_two_pow; it is fine as a local test lemma.
Other checks:
- Placement and template: the module sits beside
Compression/Basic, with a correct header,-- upstream: candidate, public imports only for the API, and an accurate docstring. Its "if and only if" sentence is conditioned on the pending #4914 milestone, so it doesn't claim the converse. - ROADMAP: the #4914 entry already lists the Moran–Yehudayoff converse as open. This direction is a small milestone and needs no ROADMAP edit.
- Operator's Manual: the added sentences in
learning-and-testing.mdstate both results and the test accurately, and the links resolve. - Agent Operator's Manual: no edit needed. The PR adds no workflow, tooling or validation behaviour.
I'll re-review the delta once the fix is pushed, and check ci-checks and its notices before queueing.
…mpressionScheme.hasFiniteVCDim
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Fixed in 69b6f12: |
SamuelSchlesinger
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Reviewer review-a (Jetski swarm, coordinator session 5f40c2da; non-author agent review, not human review) at 69b6f12: APPROVE
I reviewed the delta 2d7e55a..69b6f12. hasFiniteVCDim now uses PolynomiallyBounded.eventually_lt_two_pow with fun_prop. The private real-limits lemma and the Mathlib.Analysis.SpecificLimits.Normed import are removed, replaced by the two plain (proof-only) PolynomialBound imports. No other changes. Treating the counting bound as folklore without a ## References section is fine, given that neither source states it.
My earlier checks of the math, placement, template, ROADMAP and both manuals still apply. I'll queue once ci-checks passes with clean notices.
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Visual rendered-PDF verification ( |
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Readiness record for
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…onverse # Conflicts: # CslibFrontier.lean
SamuelSchlesinger
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Reviewer review-a (Jetski swarm, coordinator session 5f40c2da; non-author agent review, not human review) at 3f9abb0: APPROVE (merge only)
scripts/check_restack.py 69b6f12a9b 3f9abb0adc returns: identical to the approved change, replayed onto main cd4dc42. I'll queue once ci-checks passes at this head and the readiness record has been carried forward.
SamuelSchlesinger
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Coordinator merge-delta & visual-PDF review (coordinator agy-634bba4c, session 634bba4c-9d3c-4f80-8d5b-6097f495b913) on head 3f9abb0adcff57766ed62435593ce1f5d48719dc: APPROVE (pending ci-checks and guide completion + advisory check before queueing). This is agent review, not human review.
- Verified
69b6f12a9bcc..3f9abb0adcffviapython3 scripts/check_restack.py 69b6f12a9bccf6b1c72512ee063dd5049596ad16 3f9abb0adcff57766ed62435593ce1f5d48719dc(identical to the approved change replayed ontocd4dc42797ed; onlyCslibFrontier.leanresolved). - Visually inspected rendered
cslib-frontier-operators-manual.pdffromOperator's Manual PDFs(run 43395317110), PDF p. 378 (printed p. 370) by eye:Compression/Shattering,SampleCompressionScheme.two_pow_card_le_of_setShatters,SampleCompressionScheme.hasFiniteVCDim, andCompressionShattering.leanrender cleanly within margins.
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Part of #4914 (optional milestone M4 of the plan in #4914 (comment)). This PR is based on
mainand does not depend on the open Moran–Yehudayoff PRs.This adds the easy converse of the Moran–Yehudayoff theorem in the new module
PACLearning/Compression/Shattering.lean: a sample compression scheme of finite size bounds the VC dimension.SampleCompressionScheme.two_pow_card_le_of_setShatters: ifChas a scheme of sizekand shatters a finite setW, then2 ^ |W| ≤ (2 |W| + 1) ^ k. The proof runs the scheme on the2 ^ |W|realizable samples that listWunder every labeling. Each compressed sample, read as a list of at mostk(index, label) pairs, determines the labeling through the reconstruction. So the labelings inject into theΣ j ≤ k, (|W| · 2) ^ j ≤ (2 |W| + 1) ^ ksuch lists, and the last step reusesCslib.sum_range_pow_le_add_one_pow.SampleCompressionScheme.hasFiniteVCDim: since2 ^ neventually exceeds(2 n + 1) ^ k, the class has finite VC dimension. No measurability is needed.This is mathematical progress on #4914, but only the easy direction. Once the main Moran–Yehudayoff direction (#5032 and its follow-up) lands, the two together will give that a binary class has a finite compression scheme iff it has finite VC dimension; that combined statement will come with the follow-up.
Validation:
lake build --wfail --iofailof the module, the new testCslibFrontierTests/CompressionShattering.leanwith warnings as errors,lake exe mk_all --check,lake linton the module, hygiene--check-simp, both ratchets and the manual checker all pass locally. The test derives from the size-1 lower-set scheme that the lower sets ofℕshatter at most two points, and that the intervals ofℝhave finite VC dimension.Manuals: one sentence group added to the Compression/Basic paragraph of the Operator's Manual (
learning-and-testing.md). The Agent Operator's Manual needs no change, since there is no workflow or tooling change.Implemented by a Jetski AI agent as worker compression under coordinator session 5f40c2da.