{"id":33211115,"url":"https://github.com/MachineLearningBCAM/Unsupervised-conformal-prediction-NeurIPS2025","last_synced_at":"2025-12-05T19:01:25.323Z","repository":{"id":318687733,"uuid":"1072342284","full_name":"MachineLearningBCAM/Unsupervised-conformal-prediction-NeurIPS2025","owner":"MachineLearningBCAM","description":"The provided files implement the method proposed in the paper \"Split conformal classification with unsupervised calibration\"","archived":false,"fork":false,"pushed_at":"2025-11-24T11:41:30.000Z","size":3529,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-11-28T01:11:05.321Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MachineLearningBCAM.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-10-08T15:31:49.000Z","updated_at":"2025-11-24T11:41:34.000Z","dependencies_parsed_at":"2025-10-08T17:49:30.329Z","dependency_job_id":"2205d377-fd9a-440c-bc14-979f6f717315","html_url":"https://github.com/MachineLearningBCAM/Unsupervised-conformal-prediction-NeurIPS2025","commit_stats":null,"previous_names":["machinelearningbcam/unsupervised-conformal-prediction-neurips2025"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MachineLearningBCAM/Unsupervised-conformal-prediction-NeurIPS2025","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningBCAM%2FUnsupervised-conformal-prediction-NeurIPS2025","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningBCAM%2FUnsupervised-conformal-prediction-NeurIPS2025/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningBCAM%2FUnsupervised-conformal-prediction-NeurIPS2025/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningBCAM%2FUnsupervised-conformal-prediction-NeurIPS2025/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MachineLearningBCAM","download_url":"https://codeload.github.com/MachineLearningBCAM/Unsupervised-conformal-prediction-NeurIPS2025/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningBCAM%2FUnsupervised-conformal-prediction-NeurIPS2025/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":27526597,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-12-05T02:00:07.920Z","response_time":54,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-11-16T11:00:36.083Z","updated_at":"2025-12-05T19:01:25.311Z","avatar_url":"https://github.com/MachineLearningBCAM.png","language":"MATLAB","funding_links":[],"categories":["Papers"],"sub_categories":[],"readme":"# Split Conformal \nClassification with Unsupervised Calibration\n\n[![Made with!](https://img.shields.io/badge/Made%20with-MATLAB-red)](/AMRC_Matlab)  [![Ask Me Anything !](https://img.shields.io/badge/Ask%20me-anything-1abc9c.svg)](#support-and-author)\n\nThe provided files implement the proposed method for split conformal prediction with unsupervised calibration samples presented in https://arxiv.org/pdf/2510.07185.\n\n\n## Source code\n\n[![Made with!](https://img.shields.io/badge/Made%20with-MATLAB-red)](CL-MRC_Matlab)\n\n(/code) folder contains the Matlab files required to execute the method:\n\n*    main.m script that runs the methods presented with the same settings as those in the experimental results shown in the paper using the dataset `USPS' that can be found in the folder '/data'. In addition, the function also obtains results with the conventional approach with supervised calibration samples and the naive approach with unsupervised calibration samples\n*    find_quant.m function that finds the conformal quantile using the methods presented\n*    select_sigma.m function that selects the bandwidth parameter for the Gaussian kernel used\n*    find_p.m function that obtains label probabilities by solving a quadratic optimization problem (using cvx and Mosek solver if variable mosek=1 or using Matlab function if mosek=0)\n*    weighted_quantile.m function that determines quantiles for values with corresponding probabilities\n*    compute_score.m function that computes values for the adaptive score\n\n## Test case\n\nFile main.m obtains set-prediction rules and compute the corresponding coverage probabilities and set sizes for one random partition of USPS dataset.\n\n\n## Support and Author\n\nSantiago Mazuelas\n\nsmazuelas@bcamath.org\n\n\n\n## License \n\nThis library carries a MIT license.\n\n## Citation\n\nIf you find useful the code in your research, please include explicit mention of our work in your publication with the following corresponding entry in your bibliography:\n\n@inproceedings{Maz:25,\n  title      ={Split Conformal Classification with Unsupervised Calibration},\n  author     ={Mazuelas, Santiago},\n  booktitle  ={{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems},\n  volume     ={38},\n  pages      ={},\n  year       ={2025},\n  month      ={Dec.}\n}\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningBCAM%2FUnsupervised-conformal-prediction-NeurIPS2025","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMachineLearningBCAM%2FUnsupervised-conformal-prediction-NeurIPS2025","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningBCAM%2FUnsupervised-conformal-prediction-NeurIPS2025/lists"}