{"type":"ScholarlyArticle","title":"A Formal Theory of Optimal Learning with Experimental Results","authors":[{"name":"Michael Timothy Bennett","slug":"michael-timothy-bennett","given":"Michael Timothy","family":"Bennett","affiliation":""}],"abstract":"Here I summarise some results from my thesis which are relevant to artificial intelligence (AI) and machine learning (ML). The key contribution is a theory of optimally sample and energy efficient learning, which is supported by mathematical proofs and experimental results.","doi":"10.24963/ijcai.2025/1238","url":"https://ijcai.org/proceedings/2025/1238","pdf":"https://ijcai.org/proceedings/2025/1238.pdf","markdown":"https://ijcai.org/proceedings/2025/1238.md","bibtex":"https://ijcai.org/proceedings/2025/bibtex/1238","volume":{"slug":"2025","title":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2025","url":"https://ijcai.org/proceedings/2025/","year":2025,"location":"Montreal, Canada","dates":"16-22 August 2025","editors":"James Kwok","isbn":"978-1-956792-06-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2025"},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":1238,"pages":{"first":10967,"last":10968},"keywords":["Search: S: Search and machine learning","Planning and Scheduling: PS: Other","Constraint Satisfaction and Optimization: CSO: Other","Search: S: Other","Machine Learning: ML: Learning theory"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}