{"schema":"pith.reference-change-event.v1","doi":"10.1007/s10107-024-02180-2","canonical_url":"https://pith.science/event/10.1007/s10107-024-02180-2","json_url":"https://pith.science/event/10.1007/s10107-024-02180-2.json","not_a_judgment":"This page records that a citing paper's bibliography includes a work with a published notice. It is not a judgment on the citing paper.","primary":{"event_id":307724,"doi":"10.1007/s10107-024-02180-2","event_type":"correction","event_type_label":"Correction","source":"crossref","source_label":"Crossref","event_date":"2025-03-13","title":"Correction: Accelerated affine-invariant convergence rates of the Frank–Wolfe algorithm with open-loop step-sizes","work_title":"Mathematical Programming 214:201–245","work_doi":"10.1007/s10107-024-02180-2","work_arxiv_id":null,"notice_doi":"10.1007/s10107-025-02214-3","flag_count":0,"flags_open":0,"flags_disputed":0,"latest_flag_at":null,"human_href":"/event/10.1007/s10107-024-02180-2","json_href":"/event/10.1007/s10107-024-02180-2.json"},"events":[{"event_id":307724,"doi":"10.1007/s10107-024-02180-2","event_type":"correction","event_type_label":"Correction","source":"crossref","source_label":"Crossref","event_date":"2025-03-13","title":"Correction: Accelerated affine-invariant convergence rates of the Frank–Wolfe algorithm with open-loop step-sizes","work_title":"Mathematical Programming 214:201–245","work_doi":"10.1007/s10107-024-02180-2","work_arxiv_id":null,"notice_doi":"10.1007/s10107-025-02214-3","flag_count":0,"flags_open":0,"flags_disputed":0,"latest_flag_at":null,"human_href":"/event/10.1007/s10107-024-02180-2","json_href":"/event/10.1007/s10107-024-02180-2.json"}],"flags":[{"id":10731,"status":"open","status_label":"Open","citing_arxiv_id":"2608.21598","citing_title":"Open-Loop Riemannian Frank--Wolfe: Fast Rates under Error Bounds and Scaling Inequalities","ref_index":20,"evidence_raw":"In: Proceedings of the 26th International Conference 28 on Artificial Intelligence and Statistics, pp 77-100, URL https://proceedings.mlr. press/v206/wirth23a.html [20] Wirth E, Pe˜ na J, Pokutta S (2025) Accelerated affine-invariant convergence rates of the Frank-Wolfe algorithm with open-loop step-sizes. Mathematical Programming 214:201-245. https://doi.org/10.1007/s10107-024-02180-2 [21] Wirth E, Pe˜ na J, Pokutta S (2026) Adaptive open-loop step-sizes for accelerated convergence rates of the frank-wolfe algorithm. Computational Optimization and Applications https://doi.org/10.1007/s10589-026-00817-w [22] Zhang H, Sra S (2016) First-order methods for geodesically convex optimization. In: Proceedings of the 29th Annual Conference on Learning Theory, pp 1617-1638","evidence_cleaned":null,"evidence_source_label":"citation context","event_type":"correction","event_type_label":"Correction","source_label":"Crossref","event_date":"2025-03-13","work_title":"Mathematical Programming 214:201–245","work_doi":"10.1007/s10107-024-02180-2","event_doi":"10.1007/s10107-024-02180-2","flag_href":"/flags/10731","event_href":"/event/10.1007/s10107-024-02180-2","paper_href":"/paper/2608.21598","created_at":"2026-08-28T06:32:34.789553Z","dispute_note":null,"disputed_at":null,"disputed_by":null}],"flag_count":1,"flags_open":1,"flags_disputed":0,"desk_url":"https://pith.science/flags"}