{"id":"https://openalex.org/W3138862539","doi":"https://doi.org/10.1145/3457588.3457591","title":"Review of Algorithmic Aspects of Machine Learning By Ankur Moitra","display_name":"Review of Algorithmic Aspects of Machine Learning By Ankur Moitra","publication_year":2021,"publication_date":"2021-03-16","ids":{"openalex":"https://openalex.org/W3138862539","doi":"https://doi.org/10.1145/3457588.3457591","mag":"3138862539"},"language":"en","primary_location":{"id":"doi:10.1145/3457588.3457591","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3457588.3457591","pdf_url":null,"source":{"id":"https://openalex.org/S4210206003","display_name":"ACM SIGACT News","issn_l":"0163-5700","issn":["0163-5700","1943-5827"],"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":"ACM SIGACT News","raw_type":"journal-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/A5075969007","display_name":"Sarvagya Upadhyay","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sarvagya Upadhyay","raw_affiliation_strings":["Fujitsu Laboratories of America, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories of America, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210094759"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075969007"],"corresponding_institution_ids":["https://openalex.org/I4210094759"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0685155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"52","issue":"1","first_page":"9","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.5097000002861023,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.5097000002861023,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7880868315696716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6780815124511719},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6585903167724609},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6415366530418396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6351315975189209},{"id":"https://openalex.org/keywords/algorithmic-learning-theory","display_name":"Algorithmic learning theory","score":0.527087390422821},{"id":"https://openalex.org/keywords/computational-learning-theory","display_name":"Computational learning theory","score":0.49971461296081543},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.2364136278629303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880868315696716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6780815124511719},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6585903167724609},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6415366530418396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6351315975189209},{"id":"https://openalex.org/C32254414","wikidata":"https://www.wikidata.org/wiki/Q4724364","display_name":"Algorithmic learning theory","level":3,"score":0.527087390422821},{"id":"https://openalex.org/C50292564","wikidata":"https://www.wikidata.org/wiki/Q2462783","display_name":"Computational learning theory","level":3,"score":0.49971461296081543},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2364136278629303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3457588.3457591","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3457588.3457591","pdf_url":null,"source":{"id":"https://openalex.org/S4210206003","display_name":"ACM SIGACT News","issn_l":"0163-5700","issn":["0163-5700","1943-5827"],"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":"ACM SIGACT News","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4286799911","https://openalex.org/W4224009465","https://openalex.org/W2339204188","https://openalex.org/W4286629047","https://openalex.org/W3196155444","https://openalex.org/W3206920865","https://openalex.org/W2239420864","https://openalex.org/W3108584022","https://openalex.org/W4255830763","https://openalex.org/W4388732152"],"abstract_inverted_index":{"Over":[0],"the":[1,124,145,167],"past":[2],"two":[3],"decades,":[4],"machine":[5],"learning":[6,22,34,68,158,184],"has":[7],"seen":[8],"tremendous":[9],"development":[10,56],"in":[11,28,38],"practice.":[12,29],"Technological":[13],"advancement":[14],"and":[15,106,147,160,162,179],"increased":[16],"computational":[17],"resources":[18],"have":[19,53],"enabled":[20],"several":[21],"algorithms":[23,35,78,102,132,172],"to":[24,55,63,138,165],"become":[25,133],"quite":[26],"useful":[27],"Although":[30],"many":[31,99],"families":[32],"of":[33,50,57,67,91,100,149],"are":[36,126],"heuristic":[37],"nature,":[39],"their":[40],"usefulness":[41],"cannot":[42,107],"be":[43,108],"understated.":[44],"Empirical":[45],"observations":[46],"coupled":[47],"with":[48],"abundance":[49],"new":[51],"datasets":[52],"led":[54],"novel":[58],"algorithmic":[59,151,180],"techniques":[60,181],"that":[61,169,182],"aim":[62],"accomplish":[64],"a":[65],"variety":[66],"tasks":[69],"efficiently":[70],"on":[71,80,119,144,156,177],"real-world":[72,82,120],"problems.":[73,121],"But":[74],"what":[75],"makes":[76],"these":[77,101,131,150],"work":[79,118],"such":[81],"problems?":[83],"Clearly,":[84],"producing":[85],"correct":[86],"solutions":[87],"is":[88,96,176],"one":[89],"aspect":[90,95],"it.":[92],"The":[93,174],"other":[94],"efficiency.":[97],"While":[98],"solve":[103],"hard":[104],"problems":[105],"theoretically":[109],"efficient":[110,186],"(under":[111],"plausible":[112],"complexity-theoretic":[113],"assumptions),":[114],"they":[115],"seemingly":[116],"do":[117],"It":[122],"begets":[123],"question:":[125],"there":[127],"conditions":[128],"under":[129],"which":[130],"tractable?":[134],"Having":[135],"an":[136,185],"answer":[137],"this":[139],"fundamental":[140],"question":[141],"sheds":[142],"light":[143],"power":[146],"limitations":[148],"techniques.":[152],"This":[153],"book":[154],"focuses":[155],"different":[157],"models":[159,178],"problems,":[161],"sets":[163],"out":[164],"capture":[166],"assumptions":[168],"make":[170,183],"certain":[171],"tractable.":[173],"emphasis":[175],"endeavor.":[187]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
