{"id":"https://openalex.org/W2623364964","doi":"https://doi.org/10.1145/3088525.3088562","title":"Dyna: toward a self-optimizing declarative language for machine learning applications","display_name":"Dyna: toward a self-optimizing declarative language for machine learning applications","publication_year":2017,"publication_date":"2017-06-09","ids":{"openalex":"https://openalex.org/W2623364964","doi":"https://doi.org/10.1145/3088525.3088562","mag":"2623364964"},"language":"en","primary_location":{"id":"doi:10.1145/3088525.3088562","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3088525.3088562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGPLAN International Workshop on Machine Learning and Programming Languages","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052346902","display_name":"Tim Vieira","orcid":"https://orcid.org/0000-0002-9421-6755"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tim Vieira","raw_affiliation_strings":["Johns Hopkins University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038144334","display_name":"Matthew Francis-Landau","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Francis-Landau","raw_affiliation_strings":["Johns Hopkins University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026202020","display_name":"Nathaniel Wesley Filardo","orcid":"https://orcid.org/0009-0002-9698-1503"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathaniel Wesley Filardo","raw_affiliation_strings":["Johns Hopkins University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036836220","display_name":"Farzad Khorasani","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farzad Khorasani","raw_affiliation_strings":["Rice University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052467896","display_name":"Jason Eisner","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Eisner","raw_affiliation_strings":["Johns Hopkins University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4131,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71357532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9984999895095825,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9984999895095825,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9966999888420105,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9959999918937683,"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":0.8634635210037231},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.6104817986488342},{"id":"https://openalex.org/keywords/declarative-programming","display_name":"Declarative programming","score":0.6095001101493835},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5998624563217163},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.564918577671051},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5645115971565247},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5261073708534241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42173346877098083},{"id":"https://openalex.org/keywords/programming-paradigm","display_name":"Programming paradigm","score":0.34733083844184875},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32854795455932617},{"id":"https://openalex.org/keywords/inductive-programming","display_name":"Inductive programming","score":0.2938390374183655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8634635210037231},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6104817986488342},{"id":"https://openalex.org/C146206909","wikidata":"https://www.wikidata.org/wiki/Q531152","display_name":"Declarative programming","level":4,"score":0.6095001101493835},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5998624563217163},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.564918577671051},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5645115971565247},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5261073708534241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42173346877098083},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.34733083844184875},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32854795455932617},{"id":"https://openalex.org/C50033165","wikidata":"https://www.wikidata.org/wiki/Q15712089","display_name":"Inductive programming","level":3,"score":0.2938390374183655},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3088525.3088562","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3088525.3088562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGPLAN International Workshop on Machine Learning and Programming Languages","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W121324548","https://openalex.org/W165195483","https://openalex.org/W936909164","https://openalex.org/W1525888637","https://openalex.org/W1535774026","https://openalex.org/W1556741196","https://openalex.org/W1578088218","https://openalex.org/W1596681162","https://openalex.org/W1860107648","https://openalex.org/W1961366647","https://openalex.org/W1964031104","https://openalex.org/W1972209410","https://openalex.org/W2066354072","https://openalex.org/W2089059416","https://openalex.org/W2096070062","https://openalex.org/W2100752967","https://openalex.org/W2119766618","https://openalex.org/W2121863487","https://openalex.org/W2122607012","https://openalex.org/W2134431066","https://openalex.org/W2136602922","https://openalex.org/W2137231986","https://openalex.org/W2142785340","https://openalex.org/W2144982963","https://openalex.org/W2148291485","https://openalex.org/W2149706766","https://openalex.org/W2155027007","https://openalex.org/W2162621793","https://openalex.org/W2167685423","https://openalex.org/W2173702800","https://openalex.org/W2203361072","https://openalex.org/W2261891975","https://openalex.org/W2311157666","https://openalex.org/W2346138280","https://openalex.org/W2423581336","https://openalex.org/W2508071492","https://openalex.org/W2592915588","https://openalex.org/W2766000922","https://openalex.org/W2978329087","https://openalex.org/W3011998105","https://openalex.org/W4206606839","https://openalex.org/W4233762723","https://openalex.org/W4236948309","https://openalex.org/W4241941670","https://openalex.org/W4255183139","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1644865499","https://openalex.org/W2107072074","https://openalex.org/W2161156675","https://openalex.org/W2504620268","https://openalex.org/W3004782279","https://openalex.org/W1988194486","https://openalex.org/W2949190809","https://openalex.org/W180441780","https://openalex.org/W1549545745","https://openalex.org/W1024151587"],"abstract_inverted_index":{"Declarative":[0],"programming":[1,25],"is":[2,28,81],"a":[3,21,44,50,61,75,90],"paradigm":[4],"that":[5,36,86,102],"allows":[6],"programmers":[7],"to":[8,13,17,20,30,57,71],"specify":[9,32],"what":[10],"they":[11],"want":[12],"compute,":[14],"leaving":[15],"how":[16],"compute":[18],"it":[19],"solver.":[22],"Our":[23],"declarative":[24,45],"language,":[26,46],"Dyna,":[27],"designed":[29],"compactly":[31],"computations":[33],"like":[34],"those":[35],"are":[37],"frequently":[38],"encountered":[39],"in":[40,79],"machine":[41],"learning.":[42],"As":[43],"Dyna's":[47],"solver":[48],"has":[49],"large":[51],"space":[52],"of":[53,92,113],"(correct)":[54],"strategies":[55,70],"available":[56],"it.":[58],"We":[59,100],"describe":[60],"reinforcement":[62,103],"learning":[63,104],"framework":[64],"for":[65,74,84],"adaptively":[66],"choosing":[67],"among":[68],"these":[69],"maximize":[72],"efficiency":[73],"given":[76],"workload.":[77],"Adaptivity":[78],"execution":[80],"especially":[82],"important":[83],"software":[85],"will":[87,105],"run":[88],"under":[89],"variety":[91],"workloads,":[93],"where":[94],"no":[95],"fixed":[96],"policy":[97],"works":[98],"well.":[99],"hope":[101],"identify":[106],"good":[107],"policies":[108],"reasonably":[109],"quickly-offloading":[110],"the":[111],"burden":[112],"writing":[114],"efficient":[115],"code":[116],"from":[117],"human":[118],"programmers.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
