{"id":"https://openalex.org/W4406142008","doi":"https://doi.org/10.1137/1.9781611978322.41","title":"An Elementary Predictor Obtaining Distance to Calibration","display_name":"An Elementary Predictor Obtaining Distance to Calibration","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406142008","doi":"https://doi.org/10.1137/1.9781611978322.41"},"language":"en","primary_location":{"id":"doi:10.1137/1.9781611978322.41","doi":"https://doi.org/10.1137/1.9781611978322.41","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978322.41","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4406142101","display_name":"Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)"},"type":"conference-paper","is_traditional":true,"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/A5019365634","display_name":"Eshwar Ram Arunachaleswaran","orcid":"https://orcid.org/0009-0006-2988-2491","observed_orcids":["https://orcid.org/0009-0006-2988-2491"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eshwar Ram Arunachaleswaran","raw_affiliation_strings":["Department of Computer and Information Sciences, University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045954727","display_name":"Natalie Collina","orcid":"https://orcid.org/0009-0006-2584-7728","observed_orcids":["https://orcid.org/0009-0006-2584-7728"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natalie Collina","raw_affiliation_strings":["Department of Computer and Information Sciences, University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057693522","display_name":"Aaron Roth","orcid":"https://orcid.org/0000-0002-0586-0515","observed_orcids":["https://orcid.org/0000-0002-0586-0515"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Roth","raw_affiliation_strings":["Department of Computer and Information Sciences, University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102620259","display_name":"Mirah Shi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mirah Shi","raw_affiliation_strings":["Department of Computer and Information Sciences, University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":1.104,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80110084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1366","last_page":"1370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.44020000100135803,"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":0.44020000100135803,"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":0.26489999890327454,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.03840000182390213,"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/calibration-error","display_name":"calibration error","score":0.7289999723434448},{"id":"https://openalex.org/keywords/expected-calibration-error","display_name":"expected calibration error","score":0.9589999914169312},{"id":"https://openalex.org/keywords/deterministic-online-algorithms","display_name":"deterministic online algorithms","score":0.6110000014305115}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6508793234825134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3829478919506073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3095587491989136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30749404430389404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/1.9781611978322.41","doi":"https://doi.org/10.1137/1.9781611978322.41","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978322.41","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4392011477","https://openalex.org/W4391799110","https://openalex.org/W4376639572","https://openalex.org/W7139956277","https://openalex.org/W6891839142","https://openalex.org/W7163034220","https://openalex.org/W7168417392","https://openalex.org/W4387995007","https://openalex.org/W3172199784","https://openalex.org/W4327652226"],"abstract_inverted_index":{"Blasiok":[0],"et":[1],"al.":[2],"[2023]":[3],"proposed":[4],"distance":[5,45,88],"to":[6,46,57,89],"calibration":[7,13,18,47,90],"as":[8,64],"a":[9,31,38],"natural":[10],"measure":[11],"of":[12,37],"error":[14,19,91],"that":[15,42,86],"unlike":[16],"expected":[17],"(ECE)":[20],"is":[21,55],"continuous.":[22],"Recently,":[23],"Qiao":[24],"and":[25,78],"Zheng":[26],"[2024]":[27],"(COLT":[28],"2024)":[29],"gave":[30],"nonconstructive":[32],"argument":[33],"establishing":[34],"the":[35,51],"existence":[36],"randomized":[39],"online":[40],"predictor":[41],"can":[43],"obtain":[44],"in":[48,50],"expectation":[49],"adversarial":[52],"setting,":[53],"which":[54],"known":[56],"be":[58],"impossible":[59],"for":[60],"ECE.":[61],"They":[62],"leave":[63],"an":[65,69,80],"open":[66],"problem":[67,77],"finding":[68],"explicit,":[70],"efficient,":[71,83],"deterministic":[72,84],"algorithm.":[73],"We":[74],"resolve":[75],"this":[76],"give":[79],"extremely":[81],"simple,":[82],"algorithm":[85],"obtains":[87],"at":[92],"most":[93],".":[94]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-01-08T00:00:00"}
