{"id":"https://openalex.org/W2959479514","doi":"https://doi.org/10.1109/allerton.2019.8919691","title":"Distributed Black-Box optimization via Error Correcting Codes","display_name":"Distributed Black-Box optimization via Error Correcting Codes","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2959479514","doi":"https://doi.org/10.1109/allerton.2019.8919691","mag":"2959479514"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2019.8919691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2019.8919691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.05984","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062073113","display_name":"Burak Bartan","orcid":"https://orcid.org/0000-0002-0079-8126"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Burak Bartan","raw_affiliation_strings":["Stanford University,Department of Electrical Engineering","Stanford University Department of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University Department of Electrical Engineering","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001436196","display_name":"Mert Pilanc\u0131","orcid":"https://orcid.org/0000-0002-0870-9992"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mert Pilanci","raw_affiliation_strings":["Stanford University,Department of Electrical Engineering","Stanford University ()"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University ()","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"246","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.707722008228302},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.6437551975250244},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6424227952957153},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5960187315940857},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5451282262802124},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5078848004341125},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4989888668060303},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4116378426551819},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3513486683368683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19729387760162354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1655002236366272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707722008228302},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.6437551975250244},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6424227952957153},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5960187315940857},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5451282262802124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5078848004341125},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4989888668060303},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4116378426551819},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3513486683368683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19729387760162354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1655002236366272},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/allerton.2019.8919691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2019.8919691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1907.05984","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.05984","pdf_url":"https://arxiv.org/pdf/1907.05984","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2959479514","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1907.05984","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1907.05984","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.05984","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1907.05984","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.05984","pdf_url":"https://arxiv.org/pdf/1907.05984","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2959479514.pdf","grobid_xml":"https://content.openalex.org/works/W2959479514.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W181733065","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1982063824","https://openalex.org/W2062011830","https://openalex.org/W2150498905","https://openalex.org/W2268702383","https://openalex.org/W2296319761","https://openalex.org/W2596367596","https://openalex.org/W2746600820","https://openalex.org/W2796248693","https://openalex.org/W2798525132","https://openalex.org/W2914963584","https://openalex.org/W2958990012","https://openalex.org/W2962813697","https://openalex.org/W2962850796","https://openalex.org/W2962937842","https://openalex.org/W2963041503","https://openalex.org/W2963060476","https://openalex.org/W2963459305","https://openalex.org/W3098226281","https://openalex.org/W3118608800","https://openalex.org/W4250589301","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6682597329","https://openalex.org/W6735641298","https://openalex.org/W6738835244","https://openalex.org/W6750231036","https://openalex.org/W6750322874"],"related_works":["https://openalex.org/W2952282509","https://openalex.org/W3035172095","https://openalex.org/W2520372893","https://openalex.org/W3113611065","https://openalex.org/W2886730169","https://openalex.org/W2783192054","https://openalex.org/W2949790472","https://openalex.org/W2756872766","https://openalex.org/W1970755911","https://openalex.org/W2973536543","https://openalex.org/W2991457285","https://openalex.org/W2800888570","https://openalex.org/W3175398266","https://openalex.org/W2950075797","https://openalex.org/W3034726383","https://openalex.org/W3192861658","https://openalex.org/W2803429660","https://openalex.org/W2543439725","https://openalex.org/W3206552917","https://openalex.org/W2916380722"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,28,74],"novel":[3],"distributed":[4],"derivative-free":[5],"optimization":[6],"framework":[7,37],"that":[8],"is":[9,25],"resilient":[10],"to":[11,31],"stragglers.":[12],"The":[13],"proposed":[14],"method":[15],"employs":[16],"coded":[17],"search":[18,53],"directions":[19,54],"at":[20],"which":[21],"the":[22,33,78],"objective":[23],"function":[24],"evaluated,":[26],"and":[27,47],"decoding":[29],"step":[30],"find":[32],"next":[34],"iterate.":[35],"Our":[36,70],"can":[38],"be":[39],"seen":[40],"as":[41],"an":[42,58],"extension":[43],"of":[44],"evolution":[45],"strategies":[46],"structured":[48,52],"exploration":[49],"methods":[50],"where":[51],"were":[55],"utilized.":[56],"As":[57],"application,":[59],"we":[60],"consider":[61],"black-box":[62],"adversarial":[63],"attacks":[64],"on":[65],"deep":[66],"convolutional":[67],"neural":[68],"networks.":[69],"numerical":[71],"experiments":[72],"demonstrate":[73],"significant":[75],"improvement":[76],"in":[77],"computation":[79],"times.":[80]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}