{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/online-platt-scaling-with-calibeating","title":"Online Platt Scaling with Calibeating","arxiv_id":"2305.00070","date":"2023-04-28","proceeding":null,"authors":["Chirag Gupta","Aaditya Ramdas"],"abstract":"We present an online post-hoc calibration method, called Online Platt Scaling (OPS), which combines the Platt scaling technique with online logistic regression. We demonstrate that OPS smoothly adapts between i.i.d. and non-i.i.d. settings with distribution drift. Further, in scenarios where the best Platt scaling model is itself miscalibrated, we enhance OPS by incorporating a recently developed technique called calibeating to make it more robust. Theoretically, our resulting OPS+calibeating method is guaranteed to be calibrated for adversarial outcome sequences. Empirically, it is effective on a range of synthetic and real-world datasets, with and without distribution drifts, achieving superior performance without hyperparameter tuning. Finally, we extend all OPS ideas to the beta scaling method.","url_abs":"https://arxiv.org/abs/2305.00070v3","url_pdf":"https://arxiv.org/pdf/2305.00070v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2305.00070","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.00070"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/aigen/df-posthoc-calibration","reach":null}],"summary":{"ran_fixture":1,"ran_honours":1},"by_repo_kind":{"found_in_text":{"samples":2,"ran":2,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"2287e7b49a6aefae","entry":"online_platt_scaling_newton","repo":"aigen/df-posthoc-calibration","repo_kind":"found_in_text","path":"Online Platt Scaling with Calibeating/calibration.py","file_url":"https://github.com/aigen/df-posthoc-calibration/blob/HEAD/Online%20Platt%20Scaling%20with%20Calibeating/calibration.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"2287e7b49a6aefae"}},{"code_sha256_prefix":"f8558288ee058a68","entry":"sigmoid","repo":"aigen/df-posthoc-calibration","repo_kind":"found_in_text","path":"Online Platt Scaling with Calibeating/calibration.py","file_url":"https://github.com/aigen/df-posthoc-calibration/blob/HEAD/Online%20Platt%20Scaling%20with%20Calibeating/calibration.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"f8558288ee058a68"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}