{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T01:22:11Z","timestamp":1781918531082,"version":"3.54.5"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1546098"],"award-info":[{"award-number":["IIS-1546098"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021,10,1]]},"DOI":"10.1109\/tpami.2020.2990820","type":"journal-article","created":{"date-parts":[[2020,4,27]],"date-time":"2020-04-27T20:12:11Z","timestamp":1588018331000},"page":"3555-3572","source":"Crossref","is-referenced-by-count":27,"title":["Optimizing Regularized Cholesky Score for Order-Based Learning of Bayesian Networks"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0737-9001","authenticated-orcid":false,"given":"Qiaoling","family":"Ye","sequence":"first","affiliation":[{"name":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2808-8310","authenticated-orcid":false,"given":"Arash A.","family":"Amini","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2100-8840","authenticated-orcid":false,"given":"Qing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344136"},{"key":"ref38","first-page":"123","article-title":"Proximal algorithms","volume":"1","author":"parikh","year":"2013","journal-title":"Found Trends Optim"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10114-019-7326-8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1214\/10-EJS580"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-016-0367-7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5705\/ss.202018.0476"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/0270-0255(86)90088-6"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/82.4.669"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1214\/11-STS358"},{"key":"ref10","first-page":"1864","article-title":"Learning Bayesian networks with thousands of variables","author":"scanagatta","year":"2015","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref40","article-title":"Bayesian network repository","author":"scutari","year":"2019"},{"key":"ref11","first-page":"45","article-title":"Improved local search in Bayesian networks structure learning","volume":"73","author":"scanagatta","year":"2017","journal-title":"Mach Learn Res"},{"key":"ref12","first-page":"445","article-title":"A simple approach for finding the globally optimal Bayesian network structure","author":"silander","year":"2006","journal-title":"Proc 22nd Conf Annu Conf Uncertainty Artif Intell"},{"key":"ref13","first-page":"182","article-title":"Advances in Bayesian network learning using integer programming","author":"bartlett","year":"2013","journal-title":"Proc Conf Uncertainty of Artificial Intelligence"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57351-9_17"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-017-9769-z"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1020249912095"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1198\/016214508000000193"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2011.ap10346"},{"key":"ref19","first-page":"1466","article-title":"Learning linear structural equation models in polynomial time and sample complexity","volume":"84","author":"ghoshal","year":"2018","journal-title":"Mach Learn Res"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS729"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6889-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1561\/2400000006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-4832-1451-1.50037-8"},{"key":"ref6","first-page":"507","article-title":"Optimal structure identification with greedy search","volume":"3","author":"chickering","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5705\/ss.2013.129"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0178-6"},{"key":"ref8","first-page":"584","article-title":"Ordering-based search: A simple and effective algorithm for learning Bayesian networks","author":"teyssier","year":"2005","journal-title":"Proc 21st Conf Uncertainty Artif Intell"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/34.537345"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-010-0623-x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/089443939100900106"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1613\/jair.5203"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994110"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479894278952"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-018-9801-y"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2012.754359"},{"key":"ref47","first-page":"2409","article-title":"Characterization and greedy learning of interventional markov equivalence classes of directed acyclic graphs","volume":"13","author":"hauser","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-2404-4_12"},{"key":"ref42","article-title":"Scaling up greedy causal search for continuous variables","author":"ramsey","year":"0"},{"key":"ref24","first-page":"9492","article-title":"Dags with NO TEARS: Continuous optimization for structure learning","author":"zheng","year":"2018","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v091.i11"},{"key":"ref23","first-page":"2273","article-title":"Concave penalized estimation of sparse gaussian Bayesian networks","volume":"16","author":"aragam","year":"2015","journal-title":"J Mach Learn Res"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxm045"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-2748-9"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v035.i03"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1214\/009053604000000067"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/34\/9527405\/9079582-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9527405\/09079582.pdf?arnumber=9079582","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T21:10:39Z","timestamp":1705353039000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9079582\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,1]]},"references-count":48,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2020.2990820","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,1]]}}}