logbook.json

{"schema_version":1,"title":"Repro - Optimal Regularization for Performative Learning (G4ve69pimc)","emoji":"🎯","space_id":"DineshAI/G4ve69pimc","paper":{"arxiv_id":"2510.12249","openreview_id":"G4ve69pimc","title":"Optimal Regularization for Performative Learning"},"tags":["icml2026-repro","paper-G4ve69pimc"],"updated_at":"2026-07-22T22:00:00+00:00","root":{"slug":"index","title":"Repro - Optimal Regularization for Performative Learning (G4ve69pimc)","file":"pages/index.md","children":[{"slug":"claim-1-scaling","title":"Claim 1 — Optimal regularization scales with performative strength","file":"pages/claim-1-scaling/page.md","children":[]},{"slug":"claim-2-mitigation","title":"Claim 2 — Mitigation by optimal regularization","file":"pages/claim-2-mitigation/page.md","children":[]},{"slug":"methods-environment","title":"Methods & environment","file":"pages/methods-environment/page.md","children":[]},{"slug":"negative-controls","title":"Negative controls","file":"pages/negative-controls/page.md","children":[]},{"slug":"conclusion","title":"Conclusion","file":"pages/conclusion/page.md","children":[]},{"slug":"claim-performative-reg","title":"Claims — performative optimal regularization","file":"pages/claim-performative-reg/page.md","children":[]},{"slug":"claim-4-noise-direction","title":"Claim 4 — Low/high-noise direction reversal","file":"pages/claim-4-noise-direction/page.md","children":[]}]},"agent_view_tokens":2006,"revision":1784621127311063820}