{"id":"https://openalex.org/W3005774977","doi":"https://doi.org/10.1109/ictai.2019.00143","title":"Learning Linear Programs from Data","display_name":"Learning Linear Programs from Data","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3005774977","doi":"https://doi.org/10.1109/ictai.2019.00143","mag":"3005774977"},"language":"en","primary_location":{"id":"doi:10.1109/ictai.2019.00143","doi":"https://doi.org/10.1109/ictai.2019.00143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai.2019.00143","pdf_url":null,"source":{"id":"https://openalex.org/S4210176007","display_name":"IEEE International Conference on Tools with Artificial Intelligence (ICTAI)","issn_l":"1082-3409","issn":["1082-3409","2375-0197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W3005774977"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/650554","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043815428","display_name":"Elias Arnold Schede","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Elias Arnold Schede","raw_affiliation_strings":["KU Leuven","KU Leuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040103350","display_name":"Samuel Kolb","orcid":"https://orcid.org/0000-0002-7803-2198","observed_orcids":["https://orcid.org/0000-0002-7803-2198"]},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Samuel Kolb","raw_affiliation_strings":["KU Leuven","KU Leuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001174680","display_name":"Stefano Teso","orcid":"https://orcid.org/0000-0002-2340-9461","observed_orcids":["https://orcid.org/0000-0002-2340-9461"]},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Stefano Teso","raw_affiliation_strings":["KU Leuven","KU Leuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":1.6664,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83194676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1019","last_page":"1026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.4032999873161316,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.4032999873161316,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.18809999525547028,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.07930000126361847,"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/constraint-learning","display_name":"constraint learning","score":0.7279999852180481},{"id":"https://openalex.org/keywords/mixed-integer-linear-programming","display_name":"mixed-integer linear programming","score":0.8999999761581421},{"id":"https://openalex.org/keywords/program-synthesis","display_name":"program synthesis","score":0.46299999952316284},{"id":"https://openalex.org/keywords/learning-from-examples","display_name":"learning from examples","score":0.6269999742507935},{"id":"https://openalex.org/keywords/sparsity","display_name":"sparsity","score":0.6610000133514404}],"concepts":[{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.7915165424346924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599043250083923},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5613329410552979},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5480692982673645},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5059744715690613},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.49836230278015137},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47756844758987427},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.44797414541244507},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3782036304473877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32932159304618835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2785711884498596},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22131502628326416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14878195524215698},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ictai.2019.00143","doi":"https://doi.org/10.1109/ictai.2019.00143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai.2019.00143","pdf_url":null,"source":{"id":"https://openalex.org/S4210176007","display_name":"IEEE International Conference on Tools with Artificial Intelligence (ICTAI)","issn_l":"1082-3409","issn":["1082-3409","2375-0197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/650554","doi":null,"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/650554","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Portland, OR, USA, 4-6 November 2019","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/650554","doi":null,"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/650554","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Portland, OR, USA, 4-6 November 2019","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W141304919","https://openalex.org/W418523852","https://openalex.org/W1481397690","https://openalex.org/W1498522186","https://openalex.org/W1608339372","https://openalex.org/W1614899366","https://openalex.org/W1985463769","https://openalex.org/W2039438774","https://openalex.org/W2055775217","https://openalex.org/W2076680677","https://openalex.org/W2094878426","https://openalex.org/W2127470768","https://openalex.org/W2132525863","https://openalex.org/W2135046866","https://openalex.org/W2161989990","https://openalex.org/W2179503016","https://openalex.org/W2204508432","https://openalex.org/W2221612704","https://openalex.org/W2241592413","https://openalex.org/W2558952101","https://openalex.org/W2590041095","https://openalex.org/W2604349812","https://openalex.org/W2604736517","https://openalex.org/W2740573360","https://openalex.org/W2790167826","https://openalex.org/W2800792697","https://openalex.org/W2806039192","https://openalex.org/W2808243688","https://openalex.org/W2911796152","https://openalex.org/W2951539267","https://openalex.org/W2964218708","https://openalex.org/W6628836516"],"related_works":["https://openalex.org/W1584941468","https://openalex.org/W3102197198","https://openalex.org/W3178161327","https://openalex.org/W2319575500","https://openalex.org/W3215410999","https://openalex.org/W2941005334","https://openalex.org/W1509911821","https://openalex.org/W7096028411","https://openalex.org/W3172490820","https://openalex.org/W4416888191"],"abstract_inverted_index":{"Linear":[0],"Programming":[1],"lies":[2],"at":[3],"the":[4,58,71,119,132,135],"core":[5],"of":[6,98,118,134],"mathematical":[7,25],"modelling":[8],"and":[9,18,27,30,38,100,116,128],"optimization.":[10],"Designing":[11],"linear":[12,53,86],"programs":[13,54],"(LPs)":[14],"is":[15,108],"a":[16,83,105],"difficult":[17],"expensive":[19],"process,":[20,45],"as":[21,82,102,104],"it":[22,31],"requires":[23],"both":[24,33,114],"programming":[26],"domain":[28],"expertise,":[29],"involves":[32],"designing":[34],"an":[35,49],"objective":[36,59],"function":[37],"feasibility":[39],"constraints.":[40],"To":[41],"support":[42],"this":[43],"design":[44],"we":[46],"propose":[47],"INCALP,":[48],"algorithm":[50],"for":[51],"inducing":[52],"from":[55],"examples.":[56],"Since":[57],"can":[60],"often":[61],"be":[62],"learned":[63,120],"with":[64],"standard":[65],"techniques":[66],"(e.g.":[67],"regression),":[68],"INCALP":[69,88,112],"learns":[70],"hard":[72],"constraints":[73],"only.":[74],"It":[75],"does":[76],"so":[77],"by":[78,93],"encoding":[79],"constraint":[80],"learning":[81],"mixed":[84],"integer":[85],"program.":[87,121],"achieves":[89],"significant":[90],"efficiency":[91],"gains":[92],"considering":[94],"gradually":[95],"larger":[96],"subsets":[97],"examples,":[99],"terminating":[101],"soon":[103],"suitable":[106],"program":[107],"found.":[109],"In":[110],"addition,":[111],"encourages":[113],"compactness":[115],"sparsity":[117],"Our":[122],"empirical":[123],"analysis":[124],"on":[125],"synthetic":[126],"data":[127],"textbook":[129],"problems":[130],"highlights":[131],"promise":[133],"approach.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-02-24T00:00:00"}