{"id":"https://openalex.org/W2217850561","doi":"https://doi.org/10.1145/2505983","title":"Learning Hurdles for Sleeping Experts","display_name":"Learning Hurdles for Sleeping Experts","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2217850561","doi":"https://doi.org/10.1145/2505983","mag":"2217850561"},"language":"en","primary_location":{"id":"doi:10.1145/2505983","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505983","pdf_url":null,"source":{"id":"https://openalex.org/S205019203","display_name":"ACM Transactions on Computation Theory","issn_l":"1942-3454","issn":["1942-3454","1942-3462"],"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 Transactions on Computation Theory","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/A5065655845","display_name":"Varun Kanade","orcid":"https://orcid.org/0000-0002-2300-4819"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Varun Kanade","raw_affiliation_strings":["Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090438638","display_name":"Thomas Steinke","orcid":"https://orcid.org/0000-0002-0338-8042"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Steinke","raw_affiliation_strings":["Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065655845"],"corresponding_institution_ids":["https://openalex.org/I2801851002"],"apc_list":null,"apc_paid":null,"fwci":2.5367,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91483003,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"3","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","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/T12072","display_name":"Machine Learning and Algorithms","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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998000264167786,"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/T12288","display_name":"Optimization and Search Problems","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/regret","display_name":"Regret","score":0.7722893953323364},{"id":"https://openalex.org/keywords/hindsight-bias","display_name":"Hindsight bias","score":0.6551890969276428},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.614408016204834},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5266727805137634},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.5017814636230469},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.490263968706131},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4822840988636017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4781656861305237},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.46882838010787964},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.43508049845695496},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40703830122947693},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3513723611831665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32621297240257263},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.2699058949947357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19159579277038574}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7722893953323364},{"id":"https://openalex.org/C10347200","wikidata":"https://www.wikidata.org/wiki/Q1960297","display_name":"Hindsight bias","level":2,"score":0.6551890969276428},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.614408016204834},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5266727805137634},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.5017814636230469},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.490263968706131},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4822840988636017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4781656861305237},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.46882838010787964},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.43508049845695496},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40703830122947693},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3513723611831665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32621297240257263},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.2699058949947357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19159579277038574},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2505983","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505983","pdf_url":null,"source":{"id":"https://openalex.org/S205019203","display_name":"ACM Transactions on Computation Theory","issn_l":"1942-3454","issn":["1942-3454","1942-3462"],"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 Transactions on Computation Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G5699838688","display_name":null,"funder_award_id":"CCF-04-27129, CCF-09-64401","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"},{"id":"https://openalex.org/G5717504519","display_name":null,"funder_award_id":"CCF-1116616","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1495101539","https://openalex.org/W1500625764","https://openalex.org/W1570963478","https://openalex.org/W1790582767","https://openalex.org/W1988790447","https://openalex.org/W1989274820","https://openalex.org/W1999032440","https://openalex.org/W2008098735","https://openalex.org/W2017031328","https://openalex.org/W2017496565","https://openalex.org/W2019363670","https://openalex.org/W2038225707","https://openalex.org/W2046934276","https://openalex.org/W2084544490","https://openalex.org/W2103715332","https://openalex.org/W2109339818","https://openalex.org/W2110400261","https://openalex.org/W2121136483","https://openalex.org/W2148352980","https://openalex.org/W2402957931","https://openalex.org/W2519411794","https://openalex.org/W2606082375","https://openalex.org/W2914238450","https://openalex.org/W2951270685","https://openalex.org/W2964270981","https://openalex.org/W2998446700","https://openalex.org/W3021703980","https://openalex.org/W4214821481","https://openalex.org/W4238893454"],"related_works":["https://openalex.org/W3197854638","https://openalex.org/W3140454661","https://openalex.org/W4245029315","https://openalex.org/W2139970489","https://openalex.org/W1492315459","https://openalex.org/W1512434910","https://openalex.org/W2540910169","https://openalex.org/W3089780453","https://openalex.org/W3148904318","https://openalex.org/W2022803902"],"abstract_inverted_index":{"We":[0,22,120,140],"study":[1,155],"the":[2,8,18,24,28,36,47,51,68,85,94,106,143,147],"online":[3],"decision":[4],"problem":[5,114],"in":[6,26,41,67,70,84,87,105,145],"which":[7,27,71,88,146],"set":[9],"of":[10,39,53,96,149],"available":[11,150],"actions":[12,40,54,151],"varies":[13],"over":[14,162],"time,":[15],"also":[16,141],"called":[17],"sleeping":[19],"experts":[20],"problem.":[21,139],"consider":[23,142],"setting":[25,69,86,108,144],"performance":[29],"comparison":[30],"is":[31,91,152],"made":[32],"with":[33,164],"respect":[34],"to":[35,158],"best":[37],"ordering":[38],"hindsight.":[42],"In":[43],"this":[44],"article,":[45],"both":[46],"payoff":[48],"function":[49],"and":[50,154],"availability":[52,90],"are":[55,73],"adversarial.":[56],"Kleinberg":[57,116],"et":[58,76,117],"al.":[59,77,118],"[2010]":[60],"gave":[61,79],"a":[62,100,135],"computationally":[63,101],"efficient":[64,81,102],"no-regret":[65,82,103],"algorithm":[66,83,104,125,129],"payoffs":[72],"stochastic.":[74,92],"Kanade":[75],"[2009]":[78],"an":[80,112,124,128],"action":[89],"However,":[93],"question":[95],"whether":[97],"there":[98],"exists":[99],"adversarial":[107],"was":[109],"posed":[110],"as":[111],"open":[113,138],"by":[115],"[2010].":[119],"show":[121],"that":[122],"such":[123],"would":[126],"imply":[127],"for":[130],"PAC":[131],"learning":[132],"DNF":[133],",":[134],"long-standing":[136],"important":[137],"number":[148],"restricted":[153],"its":[156],"relation":[157],"agnostic-learning":[159],"monotone":[160],"disjunctions":[161],"examples":[163],"bounded":[165],"Hamming":[166],"weight.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}