{"id":"https://openalex.org/W2753817393","doi":"https://doi.org/10.1145/3110255","title":"Symbolic conditioning of arrays in probabilistic programs","display_name":"Symbolic conditioning of arrays in probabilistic programs","publication_year":2017,"publication_date":"2017-08-29","ids":{"openalex":"https://openalex.org/W2753817393","doi":"https://doi.org/10.1145/3110255","mag":"2753817393"},"language":"en","primary_location":{"id":"doi:10.1145/3110255","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3110255","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3110255&type=pdf","source":{"id":"https://openalex.org/S4210216081","display_name":"Proceedings of the ACM on Programming Languages","issn_l":"2475-1421","issn":["2475-1421"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Programming Languages","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3110255&type=pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062797994","display_name":"P. J. Narayanan","orcid":"https://orcid.org/0000-0002-7164-4917"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Praveen Narayanan","raw_affiliation_strings":["Indiana University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University, USA","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021546193","display_name":"Chung-chieh Shan","orcid":"https://orcid.org/0000-0002-0339-6405"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chung-chieh Shan","raw_affiliation_strings":["Indiana University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University, USA","institution_ids":["https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":1.8233,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88912655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"1","issue":"ICFP","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9972000122070312,"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":0.9972000122070312,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9800999760627747,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9671000242233276,"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/computer-science","display_name":"Computer science","score":0.7145801782608032},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.708008348941803},{"id":"https://openalex.org/keywords/conditioning","display_name":"Conditioning","score":0.641272783279419},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6379625797271729},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5673496127128601},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"Variable elimination","score":0.5376758575439453},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5036436915397644},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4050007462501526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3998306393623352},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3470001220703125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3399791121482849},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2084784209728241}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7145801782608032},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.708008348941803},{"id":"https://openalex.org/C45262634","wikidata":"https://www.wikidata.org/wiki/Q5159291","display_name":"Conditioning","level":2,"score":0.641272783279419},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6379625797271729},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5673496127128601},{"id":"https://openalex.org/C169272836","wikidata":"https://www.wikidata.org/wiki/Q5668307","display_name":"Variable elimination","level":3,"score":0.5376758575439453},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5036436915397644},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4050007462501526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3998306393623352},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3470001220703125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3399791121482849},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2084784209728241},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3110255","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3110255","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3110255&type=pdf","source":{"id":"https://openalex.org/S4210216081","display_name":"Proceedings of the ACM on Programming Languages","issn_l":"2475-1421","issn":["2475-1421"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Programming Languages","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3110255","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3110255","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3110255&type=pdf","source":{"id":"https://openalex.org/S4210216081","display_name":"Proceedings of the ACM on Programming Languages","issn_l":"2475-1421","issn":["2475-1421"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Programming Languages","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2503523898","display_name":null,"funder_award_id":"FA8750-14-2-0007","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G611269308","display_name":"MRI: Acquisition of PolarGrid: Cyberinfrastructure for Polar Science","funder_award_id":"0723054","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307758","display_name":"Eli Lilly and Company","ror":"https://ror.org/01qat3289"},{"id":"https://openalex.org/F4320309409","display_name":"Lilly Endowment","ror":"https://ror.org/00cpsd622"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2753817393.pdf","grobid_xml":"https://content.openalex.org/works/W2753817393.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W616791181","https://openalex.org/W1586696879","https://openalex.org/W1669437150","https://openalex.org/W1844453107","https://openalex.org/W1890754682","https://openalex.org/W2004216344","https://openalex.org/W2004843654","https://openalex.org/W2056099894","https://openalex.org/W2072403451","https://openalex.org/W2102360969","https://openalex.org/W2112820511","https://openalex.org/W2114964853","https://openalex.org/W2116330964","https://openalex.org/W2116436934","https://openalex.org/W2155049725","https://openalex.org/W2161353674","https://openalex.org/W2163738067","https://openalex.org/W2170694982","https://openalex.org/W2185558310","https://openalex.org/W2295402490","https://openalex.org/W2395654200","https://openalex.org/W2406252837","https://openalex.org/W2494200839","https://openalex.org/W2565964471","https://openalex.org/W2604738573","https://openalex.org/W2681883877","https://openalex.org/W2950204717","https://openalex.org/W4248199421","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2951434447","https://openalex.org/W2112798704","https://openalex.org/W2285055988","https://openalex.org/W1499494918","https://openalex.org/W175393830","https://openalex.org/W2926374695","https://openalex.org/W2964209567","https://openalex.org/W2144043693","https://openalex.org/W2811454648","https://openalex.org/W4285600840"],"abstract_inverted_index":{"Probabilistic":[0],"programming":[1],"systems":[2],"make":[3],"machine":[4,63],"learning":[5,64],"more":[6,20],"modular":[7,21,59],"by":[8,14,22],"automating":[9,23],"inference":[10,19,60],".":[11,25,43],"Recent":[12],"work":[13],"Shan":[15],"and":[16,91],"Ramsey":[17],"makes":[18],"conditioning":[24,35,50,126],"Their":[26],"technique":[27,96],"uses":[28,97],"a":[29,51,56,98],"symbolic":[30],"program":[31],"transformation":[32],"that":[33,112],"treats":[34],"generally":[36],"via":[37],"the":[38,69,113,125,132],"measure-theoretic":[39],"notion":[40],"of":[41,100,120,134],"disintegration":[42,70,84],"This":[44],"technique,":[45],"however,":[46],"is":[47,88],"limited":[48],"to":[49,72,137],"single":[52],"scalar":[53],"variable.":[54],"As":[55],"step":[57,127],"towards":[58],"for":[61,103,117],"realistic":[62],"applications,":[65],"we":[66],"have":[67],"extended":[68,80],"algorithm":[71,81],"symbolically":[73,90],"condition":[74],"arrays":[75,119],"in":[76,131],"probabilistic":[77],"programs.":[78],"The":[79,95],"implements":[82],"lifted":[83],",":[85],"where":[86],"repetition":[87],"treated":[89],"without":[92],"unrolling":[93],"loops.":[94],"language":[99],"index":[101],"variables":[102],"tracking":[104],"expressions":[105],"at":[106],"various":[107],"array":[108],"levels.":[109],"We":[110],"find":[111],"method":[114],"works":[115],"well":[116],"arbitrarily-sized":[118],"independent":[121],"random":[122],"choices,":[123],"with":[124],"taking":[128],"time":[129],"linear":[130],"number":[133],"indices":[135],"needed":[136],"select":[138],"an":[139],"element.":[140]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}