{"type":"ScholarlyArticle","title":"A Soft Version of Predicate Invention Based on Structured Sparsity","authors":[{"name":"William Yang Wang","slug":"william-yang-wang","given":"William Yang","family":"Wang","affiliation":""},{"name":"Kathryn Mazaitis","slug":"kathryn-mazaitis","given":"Kathryn","family":"Mazaitis","affiliation":""},{"name":"William W. Cohen","slug":"william-w-cohen","given":"William W.","family":"Cohen","affiliation":""}],"abstract":"In predicate invention (PI), new predicates are introduced into a logical theory, usually by rewriting a group of closely-related rules to use a common invented predicate as a subroutine. PI is difficult, since a poorly-chosen invented predicate may lead to error cascades. Here we suggest a soft version of predicate invention: instead of explicitly creating new predicates, we implicitly group closely-related rules by using structured sparsity to regularize their parameters together. We show that soft PI, unlike hard PI, consistently improves over previous strong baselines for structure-learning on two large-scale tasks.","doi":null,"url":"https://ijcai.org/proceedings/2015/550","pdf":"https://ijcai.org/proceedings/2015/0550.pdf","markdown":"https://ijcai.org/proceedings/2015/550.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/550","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Special Track on Machine Learning","track":"Special Track on Machine Learning","number":550,"pages":{"first":3918,"last":3923},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}