{"id":"https://openalex.org/W3096329823","doi":"https://doi.org/10.1145/3379484","title":"Online Optimization with Predictions and Non-convex Losses","display_name":"Online Optimization with Predictions and Non-convex Losses","publication_year":2020,"publication_date":"2020-05-27","ids":{"openalex":"https://openalex.org/W3096329823","doi":"https://doi.org/10.1145/3379484","mag":"3096329823"},"language":"en","primary_location":{"id":"doi:10.1145/3379484","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3379484","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3379484","source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"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 Measurement and Analysis of Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3379484","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101278719","display_name":"Yiheng Lin","orcid":"https://orcid.org/0000-0002-6871-0557"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiheng Lin","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049921570","display_name":"Gautam Goel","orcid":"https://orcid.org/0000-0002-0578-1497"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gautam Goel","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062565732","display_name":"Adam Wierman","orcid":"https://orcid.org/0000-0002-5923-0199"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Wierman","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101278719"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.3003,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82888972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9954000115394592,"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/online-algorithm","display_name":"Online algorithm","score":0.7412926554679871},{"id":"https://openalex.org/keywords/competitive-analysis","display_name":"Competitive analysis","score":0.7322741150856018},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6897551417350769},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6322956681251526},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5727692246437073},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5143214464187622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5055747032165527},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.48191574215888977},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4345836341381073},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4344031810760498},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38241100311279297},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.12775415182113647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10397756099700928},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06823524832725525}],"concepts":[{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.7412926554679871},{"id":"https://openalex.org/C102408133","wikidata":"https://www.wikidata.org/wiki/Q5156350","display_name":"Competitive analysis","level":3,"score":0.7322741150856018},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6897551417350769},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6322956681251526},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5727692246437073},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5143214464187622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5055747032165527},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.48191574215888977},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4345836341381073},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4344031810760498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38241100311279297},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.12775415182113647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10397756099700928},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06823524832725525},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3379484","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3379484","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3379484","source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"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 Measurement and Analysis of Computing Systems","raw_type":"journal-article"},{"id":"pmh:oai:authors.library.caltech.edu:101298","is_oa":false,"landing_page_url":"https://resolver.caltech.edu/CaltechAUTHORS:20200214-105548481","pdf_url":null,"source":{"id":"https://openalex.org/S4306402161","display_name":"CaltechAUTHORS (California Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122411786","host_organization_name":"California Institute of Technology","host_organization_lineage":["https://openalex.org/I122411786"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1145/3379484","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3379484","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3379484","source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"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 Measurement and Analysis of Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G233435723","display_name":null,"funder_award_id":"1518941","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G3731712706","display_name":null,"funder_award_id":"AitF-1637598","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4992636044","display_name":null,"funder_award_id":"1637598","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"},{"id":"https://openalex.org/G5837860041","display_name":null,"funder_award_id":"Amazon AWS AI Fellowship","funder_id":"https://openalex.org/F4320310598","funder_display_name":"Amazon Web Services"},{"id":"https://openalex.org/G6515955859","display_name":null,"funder_award_id":"CNS-1518941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6894402473","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G734129387","display_name":"AitF: Algorithmic challenges in smart grids: control, optimization & learning","funder_award_id":"1637598","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7922094154","display_name":"NeTS: Large: Networked Markets: Theory and Applications","funder_award_id":"1518941","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/F4320309398","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055"},{"id":"https://openalex.org/F4320310598","display_name":"Amazon Web Services","ror":"https://ror.org/04mv4n011"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"},{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3096329823.pdf","grobid_xml":"https://content.openalex.org/works/W3096329823.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W315644267","https://openalex.org/W1597529531","https://openalex.org/W1767750049","https://openalex.org/W1994720006","https://openalex.org/W2008193080","https://openalex.org/W2020196954","https://openalex.org/W2046227974","https://openalex.org/W2082099352","https://openalex.org/W2091812828","https://openalex.org/W2093909370","https://openalex.org/W2114538202","https://openalex.org/W2120067677","https://openalex.org/W2120865009","https://openalex.org/W2120881346","https://openalex.org/W2123681024","https://openalex.org/W2128085284","https://openalex.org/W2150865801","https://openalex.org/W2161029651","https://openalex.org/W2170736358","https://openalex.org/W2214938339","https://openalex.org/W2292935145","https://openalex.org/W2331891307","https://openalex.org/W2513180554","https://openalex.org/W2560674852","https://openalex.org/W2735280987","https://openalex.org/W2783741611","https://openalex.org/W2887376719","https://openalex.org/W2896230699","https://openalex.org/W2949558446","https://openalex.org/W2951159619","https://openalex.org/W2954026074","https://openalex.org/W2963331653","https://openalex.org/W3001363793","https://openalex.org/W3001440696","https://openalex.org/W3015760674","https://openalex.org/W3018087679","https://openalex.org/W3097981256","https://openalex.org/W3098546508","https://openalex.org/W3157203045","https://openalex.org/W4205841652","https://openalex.org/W4240518003","https://openalex.org/W4242418466","https://openalex.org/W6688326207"],"related_works":["https://openalex.org/W4213299358","https://openalex.org/W2564742953","https://openalex.org/W2793095688","https://openalex.org/W1623410360","https://openalex.org/W3115340459","https://openalex.org/W2950803469","https://openalex.org/W2970577745","https://openalex.org/W2583614279","https://openalex.org/W2109659895","https://openalex.org/W2994171794"],"abstract_inverted_index":{"We":[0,32,166],"study":[1],"online":[2,9,42,62,160,190],"optimization":[3,162],"in":[4,51],"a":[5,14,24,91,102,111,172,194],"setting":[6],"where":[7,115,179],"an":[8,41,169],"learner":[10,43],"seeks":[11],"to":[12,44,53,123,134,199],"optimize":[13],"per-round":[15],"hitting":[16,70,95,146],"cost,":[17],"which":[18,99],"may":[19],"be":[20,135],"non-convex,":[21],"while":[22],"incurring":[23],"movement":[25,97,148,164],"cost":[26,49,132],"when":[27],"changing":[28],"actions":[29],"between":[30,93],"rounds.":[31],"ask:under":[33],"what":[34],"general":[35,76,86],"conditions":[36,88,127,182],"is":[37,117],"it":[38],"possible":[39],"for":[40,64,144,159],"leverage":[45],"predictions":[46,121],"of":[47,67,120,171],"future":[48],"functions":[50,133],"order":[52],"achieve":[54],"near-optimal":[55,61],"costs?":[56],"Prior":[57],"work":[58],"has":[59],"provided":[60],"algorithms":[63],"specific":[65],"combinations":[66],"assumptions":[68],"about":[69],"and":[71,96,137,147,186],"switching":[72],"costs,":[73],"but":[74],"no":[75,189],"results":[77,143,151],"are":[78,183],"known.":[79],"In":[80],"this":[81],"work,":[82],"we":[83,138],"give":[84,168],"two":[85],"sufficient":[87,181],"that":[89,101,188,197],"specify":[90],"relationship":[92],"the":[94,118,124,131,153,180],"costs":[98],"guarantees":[100],"new":[103],"algorithm,":[104],"Synchronized":[105],"Fixed":[106],"Horizon":[107],"Control":[108],"(SFHC),":[109],"achieves":[110],"1+O(1/w)":[112],"competitive":[113,141,157,195],"ratio,":[114],"w":[116],"number":[119],"available":[122],"learner.":[125],"Our":[126,150],"do":[128],"not":[129,184],"require":[130],"convex,":[136],"also":[139,167],"derive":[140],"ratio":[142,158,196],"non-convex":[145,161],"costs.":[149,165],"provide":[152],"first":[154],"constant,":[155],"dimension-free":[156],"with":[163],"example":[170],"natural":[173],"problem,":[174],"Convex":[175],"Body":[176],"Chasing":[177],"(CBC),":[178],"satisfied":[185],"prove":[187],"algorithm":[191],"can":[192],"have":[193],"converges":[198],"1.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}