{"id":"https://openalex.org/W4399520917","doi":"https://doi.org/10.1145/3618260.3649681","title":"From External to Swap Regret 2.0: An Efficient Reduction for Large Action Spaces","display_name":"From External to Swap Regret 2.0: An Efficient Reduction for Large Action Spaces","publication_year":2024,"publication_date":"2024-06-10","ids":{"openalex":"https://openalex.org/W4399520917","doi":"https://doi.org/10.1145/3618260.3649681"},"language":"en","primary_location":{"id":"doi:10.1145/3618260.3649681","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3618260.3649681","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3618260.3649681","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual ACM Symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3618260.3649681","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036969610","display_name":"Yuval Dagan","orcid":"https://orcid.org/0000-0002-7940-4002"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuval Dagan","raw_affiliation_strings":["University of California, Berkeley, USA"],"raw_orcid":"https://orcid.org/0000-0002-8238-9413","affiliations":[{"raw_affiliation_string":"University of California, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Constantinos Daskalakis","orcid":"https://orcid.org/0000-0002-3996-5219"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Constantinos Daskalakis","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"raw_orcid":"https://orcid.org/0000-0002-3996-5219","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028759533","display_name":"Maxwell Fishelson","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maxwell Fishelson","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"raw_orcid":"https://orcid.org/0009-0008-8461-3459","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089252105","display_name":"Noah Golowich","orcid":"https://orcid.org/0000-0003-2274-7861"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah Golowich","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"raw_orcid":"https://orcid.org/0000-0003-2274-7861","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3478,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77783081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1216","last_page":"1222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"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":0.9995999932289124,"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":0.9976000189781189,"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/regret","display_name":"Regret","score":0.9473574161529541},{"id":"https://openalex.org/keywords/swap","display_name":"Swap (finance)","score":0.8556069731712341},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5315178632736206},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.522678792476654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5017125606536865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47672238945961},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.45208847522735596},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43421927094459534},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.42496538162231445},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.41881227493286133},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41556206345558167},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4155532419681549},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.3649643063545227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15245923399925232},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12099340558052063},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09002411365509033}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.9473574161529541},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.8556069731712341},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5315178632736206},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.522678792476654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5017125606536865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47672238945961},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.45208847522735596},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43421927094459534},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.42496538162231445},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.41881227493286133},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41556206345558167},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4155532419681549},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3649643063545227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15245923399925232},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12099340558052063},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09002411365509033},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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:10.1145/3618260.3649681","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3618260.3649681","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3618260.3649681","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual ACM Symposium on Theory of Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/155581","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/155581","pdf_url":"https://dspace.mit.edu/bitstream/1721.1/155581/1/3618260.3649681.pdf","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Association for Computing Machinery","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"doi:10.1145/3618260.3649681","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3618260.3649681","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3618260.3649681","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual ACM Symposium on Theory of Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1653007576","display_name":null,"funder_award_id":"DMS2022448","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8294762899","display_name":"Foundations of Data Science Institute","funder_award_id":"2022448","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/F4320334743","display_name":"Defence Science and Technology Agency - Singapore","ror":"https://ror.org/02rvm6b03"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399520917.pdf","grobid_xml":"https://content.openalex.org/works/W4399520917.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1570963478","https://openalex.org/W1790582767","https://openalex.org/W1963858753","https://openalex.org/W2002373723","https://openalex.org/W2111365067","https://openalex.org/W2112794046","https://openalex.org/W2118948992","https://openalex.org/W2140086339","https://openalex.org/W2484354424","https://openalex.org/W2895703110","https://openalex.org/W2949203218","https://openalex.org/W2960876848","https://openalex.org/W2979501303","https://openalex.org/W3124026469","https://openalex.org/W3172152394","https://openalex.org/W3182669049","https://openalex.org/W3209461740","https://openalex.org/W3214102131","https://openalex.org/W4206530644","https://openalex.org/W4221152589","https://openalex.org/W4280529954","https://openalex.org/W4297301784","https://openalex.org/W4298289240","https://openalex.org/W4301501993","https://openalex.org/W4309663019","https://openalex.org/W4318908720","https://openalex.org/W4383271820","https://openalex.org/W4384115495","https://openalex.org/W4388103634","https://openalex.org/W6638249623"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"We":[0,33],"provide":[1],"a":[2,39,50],"novel":[3],"reduction":[4],"from":[5],"swap-regret":[6],"minimization":[7],"to":[8,72,128],"external-regret":[9],"minimization,":[10],"which":[11],"improves":[12],"upon":[13],"the":[14,29,58,75,94,99,147],"classical":[15,100],"reductions":[16,101],"of":[17,28,31,60,96,102,130,149],"Blum-Mansour":[18,103],"and":[19,85,104,111,134,137],"Stoltz-Lugosi":[20,105],"in":[21,156],"that":[22,54,68,74,129,139,146],"it":[23,69],"does":[24],"not":[25],"require":[26,106],"finiteness":[27],"space":[30],"actions.":[32],"show":[34],"that,":[35],"whenever":[36],"there":[37,46],"exists":[38],"no-external-regret":[40],"algorithm":[41,52],"for":[42,53,132],"some":[43],"hypothesis":[44],"class,":[45],"must":[47,151],"also":[48],"exist":[49],"no-swap-regret":[51],"same":[55],"class.":[56],"For":[57],"problem":[59],"learning":[61],"with":[62,86,121],"expert":[63],"advice,":[64],"our":[65],"result":[66,119],"implies":[67],"is":[70,78,93],"possible":[71],"guarantee":[73],"swap":[76],"regret":[77],"bounded":[79],"by":[80],"\u0454":[81],"after":[82],"(logN)\u00d5(1/\u0454)":[83],"rounds":[84,110,150],"O(N)":[87],"per":[88],"iteration":[89],"complexity,":[90],"where":[91],"N":[92],"number":[95,148],"experts,":[97,144],"while":[98],"at":[107,112],"least":[108,113],"\u03a9(N/\u04542)":[109,153],"\u03a9(N3)":[114],"total":[115],"computational":[116],"cost.":[117],"Our":[118],"comes":[120],"an":[122],"associated":[123],"lower":[124],"bound,":[125],"which\u2014in":[126],"contrast":[127],"Blum-Mansour\u2014holds":[131],"oblivious":[133],"\u21131-constrained":[135],"adversaries":[136],"learners":[138],"can":[140],"employ":[141],"distributions":[142],"over":[143],"showing":[145],"be":[152],"or":[154],"exponential":[155],"1/\u0454.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
