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Publish validated ICML reproduction
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metadata
title: 'Reproduction: Optimal Regularization for Performative Learning'
emoji: 📐
colorFrom: green
colorTo: blue
sdk: static
pinned: false
short_description: Native performative ridge audit
tags:
  - trackio
  - open-reproductions
  - icml2026-repro
  - paper-G4ve69pimc

Reproduction bundle

Direct deterministic execution of all five registered claims.

python3 -m pip install -r requirements.txt
PYTHONDONTWRITEBYTECODE=1 PYTHONWARNINGS=error python3 reproduce.py --output-dir /tmp/optimal-performative-replay
PYTHONDONTWRITEBYTECODE=1 python3 validate_evidence.py
PYTHONDONTWRITEBYTECODE=1 python3 verify_manifest.py