{"id":"https://openalex.org/W3168732594","doi":"https://doi.org/10.1145/3406325.3450998","title":"Efficiently learning halfspaces with Tsybakov noise","display_name":"Efficiently learning halfspaces with Tsybakov noise","publication_year":2021,"publication_date":"2021-06-15","ids":{"openalex":"https://openalex.org/W3168732594","doi":"https://doi.org/10.1145/3406325.3450998","mag":"3168732594"},"language":"en","primary_location":{"id":"doi:10.1145/3406325.3450998","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406325.3450998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/content/qt2hv0x2hr/qt2hv0x2hr.pdf?t=shk5pd","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054966819","display_name":"Ilias Diakonikolas","orcid":"https://orcid.org/0000-0002-5486-1856"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilias Diakonikolas","raw_affiliation_strings":["University of Wisconsin-Madison, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035962853","display_name":"Daniel M. Kane","orcid":"https://orcid.org/0000-0002-0220-9962"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel M. Kane","raw_affiliation_strings":["University of California at San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058764710","display_name":"Vasilis Kontonis","orcid":"https://orcid.org/0000-0002-2229-1879"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasilis Kontonis","raw_affiliation_strings":["University of Wisconsin-Madison, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027430783","display_name":"Christos Tzamos","orcid":"https://orcid.org/0000-0002-7560-5069"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Tzamos","raw_affiliation_strings":["University of Wisconsin-Madison, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014481124","display_name":"Nikos Zarifis","orcid":"https://orcid.org/0000-0003-0578-8514"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikos Zarifis","raw_affiliation_strings":["University of Wisconsin-Madison, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.293,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50203829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"101"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9984999895095825,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9966999888420105,"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/fraction","display_name":"Fraction (chemistry)","score":0.7548579573631287},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.745485246181488},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.731081485748291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5892587304115295},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5590448379516602},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4399329721927643},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.4373416602611542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36887890100479126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2740769386291504},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2642424702644348},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.16879487037658691}],"concepts":[{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.7548579573631287},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.745485246181488},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.731081485748291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892587304115295},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5590448379516602},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4399329721927643},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.4373416602611542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36887890100479126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2740769386291504},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2642424702644348},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.16879487037658691},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3406325.3450998","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406325.3450998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt2hv0x2hr","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2hv0x2hr","pdf_url":"https://escholarship.org/content/qt2hv0x2hr/qt2hv0x2hr.pdf?t=shk5pd","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"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":"pmh:oai:escholarship.org:ark:/13030/qt2hv0x2hr","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2hv0x2hr","pdf_url":"https://escholarship.org/content/qt2hv0x2hr/qt2hv0x2hr.pdf?t=shk5pd","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3168732594.pdf","grobid_xml":"https://content.openalex.org/works/W3168732594.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1982032418","https://openalex.org/W1988790447","https://openalex.org/W2004485888","https://openalex.org/W2014902932","https://openalex.org/W2019363670","https://openalex.org/W2041268952","https://openalex.org/W2049393399","https://openalex.org/W2063368770","https://openalex.org/W2064684330","https://openalex.org/W2076541756","https://openalex.org/W2086789740","https://openalex.org/W2105897558","https://openalex.org/W2106447856","https://openalex.org/W2140125566","https://openalex.org/W2161134697","https://openalex.org/W2167460663","https://openalex.org/W2804975550","https://openalex.org/W2806473647","https://openalex.org/W2964242659","https://openalex.org/W2970584880","https://openalex.org/W2984272935","https://openalex.org/W3006151220","https://openalex.org/W3033838839","https://openalex.org/W3034738318","https://openalex.org/W3035752710","https://openalex.org/W3037262551","https://openalex.org/W3037713669","https://openalex.org/W3046323564","https://openalex.org/W3089684342","https://openalex.org/W3100743579","https://openalex.org/W3102876231","https://openalex.org/W3105488314","https://openalex.org/W3112170761","https://openalex.org/W3168732594","https://openalex.org/W4214821481","https://openalex.org/W4230674625","https://openalex.org/W6605250554","https://openalex.org/W6608175749","https://openalex.org/W6676073051"],"related_works":["https://openalex.org/W178140751","https://openalex.org/W1191014223","https://openalex.org/W1137063513","https://openalex.org/W1598955744","https://openalex.org/W4285167822","https://openalex.org/W2951710344","https://openalex.org/W4387682966","https://openalex.org/W3093605827","https://openalex.org/W2204136089","https://openalex.org/W1774334694"],"abstract_inverted_index":{"We":[0,43],"study":[1],"the":[2,13,17,41,45,57],"problem":[3],"of":[4,19,40,70],"PAC":[5],"learning":[6,52],"homogeneous":[7],"halfspaces":[8],"with":[9,25],"Tsybakov":[10,14],"noise.":[11],"In":[12],"noise":[15],"model,":[16],"label":[18],"every":[20],"example":[21],"is":[22],"independently":[23],"flipped":[24],"an":[26],"adversarially":[27],"controlled":[28],"probability":[29],"that":[30],"can":[31],"be":[32],"arbitrarily":[33],"close":[34],"to":[35],"1/2":[36],"for":[37,49],"a":[38,67],"fraction":[39],"examples.":[42],"give":[44],"first":[46],"polynomial-time":[47],"algorithm":[48,55],"this":[50],"fundamental":[51],"problem.":[53],"Our":[54],"learns":[56],"true":[58],"halfspace":[59],"within":[60],"any":[61],"desired":[62],"accuracy":[63],"and":[64],"succeeds":[65],"under":[66],"broad":[68],"family":[69],"well-behaved":[71],"distributions":[72],"including":[73],"log-concave":[74],"distributions.":[75]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
