[ICML2026] The first, fully verified, sorry-free, large-scale Lean 4 library for statistical learning theory, covering infrastructures for mordern statistics and learning theory.
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Updated
Jul 15, 2026 - Lean
[ICML2026] The first, fully verified, sorry-free, large-scale Lean 4 library for statistical learning theory, covering infrastructures for mordern statistics and learning theory.
Testing VC dimension & Rademacher complexity generalization error bounds for a simple perceptron and a rectangular classifier.
This repository contains the paper and artifact for: "Finite-Budget Structural Identifiability under Bounded Observation" The official archived version of the paper is available on Zenodo: https://doi.org/10.5281/zenodo.18736348
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