{"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/boosted-conformal-prediction-intervals","title":"Boosted Conformal Prediction Intervals","arxiv_id":"2406.07449","date":"2024-06-11","proceeding":null,"authors":["Ran Xie","Rina Foygel Barber","Emmanuel J. Candès"],"abstract":"This paper introduces a boosted conformal procedure designed to tailor conformalized prediction intervals toward specific desired properties, such as enhanced conditional coverage or reduced interval length. We employ machine learning techniques, notably gradient boosting, to systematically improve upon a predefined conformity score function. This process is guided by carefully constructed loss functions that measure the deviation of prediction intervals from the targeted properties. The procedure operates post-training, relying solely on model predictions and without modifying the trained model (e.g., the deep network). Systematic experiments demonstrate that starting from conventional conformal methods, our boosted procedure achieves substantial improvements in reducing interval length and decreasing deviation from target conditional coverage.","url_abs":"https://arxiv.org/abs/2406.07449v2","url_pdf":"https://arxiv.org/pdf/2406.07449v2.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":[{"paper_slug":"boosted-conformal-prediction-intervals","repo_url":"https://github.com/ran-xie/boosted-conformal","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"conformal-prediction","task_name":"Conformal Prediction"},{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":"prediction-intervals","task_name":"Prediction Intervals"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2406.07449","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.07449"}},"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":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ran-xie/boosted-conformal","reach":{"status":"ok","spdx":"NOASSERTION"}}],"summary":{"ran":3,"unverified":1},"by_repo_kind":{"official":{"samples":4,"ran":3,"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":4,"samples":[{"code_sha256_prefix":"c30e41ea42beb421","entry":"contrast_pyfun","repo":"ran-xie/boosted-conformal","repo_kind":"official","path":"boostedCP/contrast_trees.py","file_url":"https://github.com/ran-xie/boosted-conformal/blob/HEAD/boostedCP/contrast_trees.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"c30e41ea42beb421"}},{"code_sha256_prefix":"cb93683a66d0f5ab","entry":"hd_wts","repo":"ran-xie/boosted-conformal","repo_kind":"official","path":"boostedCP/utils.py","file_url":"https://github.com/ran-xie/boosted-conformal/blob/HEAD/boostedCP/utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"cb93683a66d0f5ab"}},{"code_sha256_prefix":"36b42ad60736b199","entry":"local_preboost","repo":"ran-xie/boosted-conformal","repo_kind":"official","path":"boostedCP/utils.py","file_url":"https://github.com/ran-xie/boosted-conformal/blob/HEAD/boostedCP/utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"36b42ad60736b199"}},{"code_sha256_prefix":"4c22e3e74c98f447","entry":"default_preprocessing","repo":"ran-xie/boosted-conformal","repo_kind":"official","path":"get_meps_data/meps_dataset_panel19_fy2015_reg.py","file_url":"https://github.com/ran-xie/boosted-conformal/blob/HEAD/get_meps_data/meps_dataset_panel19_fy2015_reg.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"4c22e3e74c98f447"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}