{"id":"https://openalex.org/W3177442922","doi":"https://doi.org/10.24963/ijcai.2021/584","title":"Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming","display_name":"Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3177442922","doi":"https://doi.org/10.24963/ijcai.2021/584","mag":"3177442922"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/584","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/584","pdf_url":"https://www.ijcai.org/proceedings/2021/0584.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0584.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010528109","display_name":"Fulya Tr\u00f6sser","orcid":"https://orcid.org/0000-0002-1692-8079"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]},{"id":"https://openalex.org/I4210102957","display_name":"D\u00e9partement math\u00e9matiques, informatique, sciences de la donn\u00e9e et technologies du num\u00e9rique","ror":"https://ror.org/011emb038","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210102957"]},{"id":"https://openalex.org/I4387153087","display_name":"Math\u00e9matiques et Informatique Appliqu\u00e9es","ror":"https://ror.org/00780az30","country_code":null,"type":"facility","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153087"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fulya Tr\u00f6sser","raw_affiliation_strings":["Universit\u00e9 de Toulouse, INRAE, UR MIAT, F-31320, Castanet-Tolosan, France","Unit\u00e9 de Math\u00e9matiques et Informatique Appliqu\u00e9es de Toulouse"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulouse, INRAE, UR MIAT, F-31320, Castanet-Tolosan, France","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I4210088668"]},{"raw_affiliation_string":"Unit\u00e9 de Math\u00e9matiques et Informatique Appliqu\u00e9es de Toulouse","institution_ids":["https://openalex.org/I4210102957","https://openalex.org/I4387153087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065436134","display_name":"Simon de Givry","orcid":"https://orcid.org/0000-0002-2242-0458"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]},{"id":"https://openalex.org/I4210102957","display_name":"D\u00e9partement math\u00e9matiques, informatique, sciences de la donn\u00e9e et technologies du num\u00e9rique","ror":"https://ror.org/011emb038","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210102957"]},{"id":"https://openalex.org/I4387153087","display_name":"Math\u00e9matiques et Informatique Appliqu\u00e9es","ror":"https://ror.org/00780az30","country_code":null,"type":"facility","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153087"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Simon de Givry","raw_affiliation_strings":["Universit\u00e9 de Toulouse, INRAE, UR MIAT, F-31320, Castanet-Tolosan, France","Unit\u00e9 de Math\u00e9matiques et Informatique Appliqu\u00e9es de Toulouse"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulouse, INRAE, UR MIAT, F-31320, Castanet-Tolosan, France","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I4210088668"]},{"raw_affiliation_string":"Unit\u00e9 de Math\u00e9matiques et Informatique Appliqu\u00e9es de Toulouse","institution_ids":["https://openalex.org/I4210102957","https://openalex.org/I4387153087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026700325","display_name":"George Katsirelos","orcid":"https://orcid.org/0000-0002-3727-6698"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]},{"id":"https://openalex.org/I4210102957","display_name":"D\u00e9partement math\u00e9matiques, informatique, sciences de la donn\u00e9e et technologies du num\u00e9rique","ror":"https://ror.org/011emb038","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210102957"]},{"id":"https://openalex.org/I4387153087","display_name":"Math\u00e9matiques et Informatique Appliqu\u00e9es","ror":"https://ror.org/00780az30","country_code":null,"type":"facility","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153087"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"George Katsirelos","raw_affiliation_strings":["UMR MIA-Paris, INRAE, AgroParisTech, Univ. Paris-Saclay, 75005 Paris, France","Math\u00e9matiques et Informatique Appliqu\u00e9es"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMR MIA-Paris, INRAE, AgroParisTech, Univ. Paris-Saclay, 75005 Paris, France","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668"]},{"raw_affiliation_string":"Math\u00e9matiques et Informatique Appliqu\u00e9es","institution_ids":["https://openalex.org/I4210102957","https://openalex.org/I4387153087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1399,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54650172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4250","last_page":"4257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.947700023651123,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.929099977016449,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.815507709980011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7683508396148682},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.595884382724762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5873396992683411},{"id":"https://openalex.org/keywords/constraint-programming","display_name":"Constraint programming","score":0.5804521441459656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44826140999794006},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4327836036682129},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.4182731509208679},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34580719470977783},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.27207913994789124},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.14058572053909302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13494014739990234},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.12044617533683777}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.815507709980011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683508396148682},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.595884382724762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5873396992683411},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.5804521441459656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44826140999794006},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4327836036682129},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.4182731509208679},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34580719470977783},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27207913994789124},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.14058572053909302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13494014739990234},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.12044617533683777},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.24963/ijcai.2021/584","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/584","pdf_url":"https://www.ijcai.org/proceedings/2021/0584.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.12269","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.12269","pdf_url":"https://arxiv.org/pdf/2106.12269","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03268019v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03268019","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"30th International Joint Conference on Artificial Intelligence (IJCAI-21), Aug 2021, Montreal, Canada","raw_type":"Conference papers"},{"id":"pmh:oai:HAL:hal-04211656v1","is_oa":true,"landing_page_url":"https://hal.inrae.fr/hal-04211656","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IJCAI 2021, Aug 2021, Online, France. ⟨10.48550/arXiv.2106.12269⟩","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.2106.12269","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.12269","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/584","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/584","pdf_url":"https://www.ijcai.org/proceedings/2021/0584.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5140280351","display_name":null,"funder_award_id":"ANR-16-CE40-0028","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3177442922.pdf","grobid_xml":"https://content.openalex.org/works/W3177442922.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W47957325","https://openalex.org/W1490019423","https://openalex.org/W1517993545","https://openalex.org/W1530964327","https://openalex.org/W1578367602","https://openalex.org/W1789238264","https://openalex.org/W1968135284","https://openalex.org/W1981696983","https://openalex.org/W1988443389","https://openalex.org/W2029958553","https://openalex.org/W2053913299","https://openalex.org/W2103819837","https://openalex.org/W2118196167","https://openalex.org/W2170112109","https://openalex.org/W2189372254","https://openalex.org/W2217354024","https://openalex.org/W2359586820","https://openalex.org/W2407793835","https://openalex.org/W2738737459","https://openalex.org/W2757513240","https://openalex.org/W2963154081","https://openalex.org/W3041778613","https://openalex.org/W6632763994","https://openalex.org/W6677884418","https://openalex.org/W6681987720","https://openalex.org/W6688861266","https://openalex.org/W6744579691","https://openalex.org/W6764524708"],"related_works":["https://openalex.org/W2097415053","https://openalex.org/W1486916474","https://openalex.org/W4281751595","https://openalex.org/W1487478819","https://openalex.org/W2400204790","https://openalex.org/W2334636689","https://openalex.org/W1770162292","https://openalex.org/W1771117753","https://openalex.org/W1564783277","https://openalex.org/W2588855594"],"abstract_inverted_index":{"Bayesian":[0,28],"networks":[1,16],"are":[2],"probabilistic":[3],"graphical":[4],"models":[5],"with":[6,41,118],"a":[7,27,42,55,62,69,80,120],"wide":[8],"range":[9],"of":[10,26,46,64,110],"application":[11],"areas":[12],"including":[13],"gene":[14],"regulatory":[15],"inference,":[17],"risk":[18],"analysis":[19],"and":[20,79,99,136],"image":[21],"processing.":[22],"Learning":[23],"the":[24,75,86,93,124,138],"structure":[25],"network":[29],"(BNSL)":[30],"from":[31],"discrete":[32],"data":[33],"is":[34],"known":[35],"to":[36,132],"be":[37],"an":[38,129],"NP-hard":[39,130],"task":[40],"superexponential":[43],"search":[44],"space":[45],"directed":[47],"acyclic":[48],"graphs.":[49],"In":[50],"this":[51],"work,":[52],"we":[53],"propose":[54],"new":[56],"polynomial":[57],"time":[58],"algorithm":[59,71,84],"for":[60,72,85,123],"discovering":[61],"subset":[63],"all":[65],"possible":[66],"cluster":[67],"cuts,":[68],"greedy":[70],"approximately":[73],"solving":[74],"resulting":[76,113],"linear":[77,139],"program,":[78],"generalized":[81],"arc":[82],"consistency":[83],"acyclicity":[87],"constraint.":[88],"We":[89],"embed":[90],"these":[91],"in":[92],"constraint":[94],"programming-based":[95],"branch-and-bound":[96],"solver":[97,114,122],"CPBayes":[98],"show":[100],"that,":[101],"despite":[102],"being":[103],"suboptimal,":[104],"they":[105],"improve":[106],"performance":[107],"by":[108],"orders":[109],"magnitude.":[111],"The":[112],"also":[115],"compares":[116],"favorably":[117],"GOBNILP,":[119],"state-of-the-art":[121],"BNSL":[125],"problem":[126,131],"which":[127],"solves":[128,137],"discover":[133],"each":[134],"cut":[135],"program":[140],"exactly.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}