{"id":"https://openalex.org/W2029010138","doi":"https://doi.org/10.1145/2764468.2764478","title":"Commitment Without Regrets","display_name":"Commitment Without Regrets","publication_year":2015,"publication_date":"2015-06-12","ids":{"openalex":"https://openalex.org/W2029010138","doi":"https://doi.org/10.1145/2764468.2764478","mag":"2029010138"},"language":"en","primary_location":{"id":"doi:10.1145/2764468.2764478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2764468.2764478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM Conference on Economics and Computation","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/A5068544954","display_name":"Maria-Florina Balcan","orcid":"https://orcid.org/0000-0002-9525-0103"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maria-Florina Balcan","raw_affiliation_strings":["CMU, Pittsburgh, PA, USA","CMU, pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"CMU, Pittsburgh, PA, USA","institution_ids":[]},{"raw_affiliation_string":"CMU, pittsburgh, PA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024803432","display_name":"Avrim Blum","orcid":"https://orcid.org/0000-0003-2450-5102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Avrim Blum","raw_affiliation_strings":["CMU, Pittsburgh, PA, USA","CMU, pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"CMU, Pittsburgh, PA, USA","institution_ids":[]},{"raw_affiliation_string":"CMU, pittsburgh, PA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080772091","display_name":"Nika Haghtalab","orcid":"https://orcid.org/0000-0002-8612-2089"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nika Haghtalab","raw_affiliation_strings":["CMU, Pittsburgh, PA, USA","CMU, pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"CMU, Pittsburgh, PA, USA","institution_ids":[]},{"raw_affiliation_string":"CMU, pittsburgh, PA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102964654","display_name":"Ariel D. Procaccia","orcid":"https://orcid.org/0000-0003-0318-491X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ariel D. Procaccia","raw_affiliation_strings":["CMU, Pittsburgh, PA, USA","CMU, pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"CMU, Pittsburgh, PA, USA","institution_ids":[]},{"raw_affiliation_string":"CMU, pittsburgh, PA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068544954"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.8159,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.98388255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9962000250816345,"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/T11031","display_name":"Game Theory and Applications","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hindsight-bias","display_name":"Hindsight bias","score":0.8870934844017029},{"id":"https://openalex.org/keywords/stackelberg-competition","display_name":"Stackelberg competition","score":0.8557230830192566},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8403024673461914},{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.7577757835388184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7239367365837097},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.569739043712616},{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.5285711884498596},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.49334898591041565},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.20394417643547058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13740503787994385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13136962056159973}],"concepts":[{"id":"https://openalex.org/C10347200","wikidata":"https://www.wikidata.org/wiki/Q1960297","display_name":"Hindsight bias","level":2,"score":0.8870934844017029},{"id":"https://openalex.org/C199510392","wikidata":"https://www.wikidata.org/wiki/Q1184602","display_name":"Stackelberg competition","level":2,"score":0.8557230830192566},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8403024673461914},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.7577757835388184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239367365837097},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.569739043712616},{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.5285711884498596},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.49334898591041565},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.20394417643547058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13740503787994385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13136962056159973},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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:10.1145/2764468.2764478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2764468.2764478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2618094534","display_name":null,"funder_award_id":"Two Sloan Research Fellowships","funder_id":"https://openalex.org/F4320306151","funder_display_name":"Alfred P. Sloan Foundation"},{"id":"https://openalex.org/G293049584","display_name":null,"funder_award_id":"Microsoft Research Faculty Fellowship","funder_id":"https://openalex.org/F4320308943","funder_display_name":"Microsoft Research"},{"id":"https://openalex.org/G398297355","display_name":null,"funder_award_id":"CCF-1116892, IIS-1065251, CCF-1415460, CCF-1215883, IIS-1350598, CCF-1451177, CCF-1422910, CCF-1101283","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/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W568984285","https://openalex.org/W946944267","https://openalex.org/W1492050885","https://openalex.org/W1780330426","https://openalex.org/W1900348432","https://openalex.org/W1971309210","https://openalex.org/W2005951230","https://openalex.org/W2012731843","https://openalex.org/W2049934117","https://openalex.org/W2092655591","https://openalex.org/W2093825590","https://openalex.org/W2097160297","https://openalex.org/W2108111486","https://openalex.org/W2116067849","https://openalex.org/W2137083510","https://openalex.org/W2144975751","https://openalex.org/W2148825261","https://openalex.org/W2164945937","https://openalex.org/W2169401877","https://openalex.org/W2241862190","https://openalex.org/W2286978285","https://openalex.org/W2340985688","https://openalex.org/W2396886722","https://openalex.org/W2560674852","https://openalex.org/W2607666848","https://openalex.org/W6632683104"],"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/W1595498241","https://openalex.org/W2061017563"],"abstract_inverted_index":{"In":[0],"a":[1,5,9,21,42,73],"Stackelberg":[2],"Security":[3],"Game,":[4],"defender":[6,36,78],"commits":[7],"to":[8,37,39,55,115],"randomized":[10,74],"deployment":[11],"of":[12,87,127,135],"security":[13],"resources,":[14],"and":[15,89,130],"an":[16,31,62,83],"attacker":[17,99],"best-responds":[18],"by":[19],"attacking":[20],"target":[22,104],"that":[23,71],"maximizes":[24],"his":[25],"utility.":[26],"While":[27],"algorithms":[28,70,110],"for":[29,34,76],"computing":[30],"optimal":[32],"strategy":[33,75,119],"the":[35,77,97,116,125,128,133],"commit":[38],"have":[40],"had":[41],"striking":[43],"real-world":[44],"impact,":[45],"deployed":[46],"applications":[47],"require":[48],"significant":[49],"information":[50],"about":[51],"potential":[52],"attackers,":[53,88],"leading":[54],"inefficiencies.":[56],"We":[57,66,107],"address":[58],"this":[59],"problem":[60],"via":[61],"online":[63],"learning":[64],"approach.":[65],"are":[67],"interested":[68],"in":[69,120,124,132],"prescribe":[72],"at":[79],"each":[80],"step":[81],"against":[82],"adversarially":[84],"chosen":[85],"sequence":[86],"obtain":[90],"feedback":[91],"on":[92],"their":[93],"choices":[94],"(observing":[95],"either":[96],"current":[98],"type":[100],"or":[101],"merely":[102],"which":[103],"was":[105],"attacked).":[106],"design":[108],"no-regret":[109],"whose":[111],"regret":[112],"(when":[113],"compared":[114],"best":[117],"fixed":[118],"hindsight)":[121],"is":[122],"polynomial":[123],"parameters":[126],"game,":[129],"sublinear":[131],"number":[134],"times":[136],"steps.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
