{"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/on-causal-and-anticausal-learning","title":"On Causal and Anticausal Learning","arxiv_id":"1206.6471","date":"2012-06-27","proceeding":null,"authors":["Bernhard Schoelkopf","Dominik Janzing","Jonas Peters","Eleni Sgouritsa","Kun Zhang","Joris Mooij"],"abstract":"We consider the problem of function estimation in the case where an\nunderlying causal model can be inferred. This has implications for popular\nscenarios such as covariate shift, concept drift, transfer learning and\nsemi-supervised learning. We argue that causal knowledge may facilitate some\napproaches for a given problem, and rule out others. In particular, we\nformulate a hypothesis for when semi-supervised learning can help, and\ncorroborate it with empirical results.","url_abs":"http://arxiv.org/abs/1206.6471v1","url_pdf":"http://arxiv.org/pdf/1206.6471v1.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":"on-causal-and-anticausal-learning","repo_url":"https://github.com/causalitas/causalitas.github.io","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"transfer-learning","task_name":"Transfer Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1206.6471","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}