{"id":"https://openalex.org/W4401881141","doi":"https://doi.org/10.1109/sam60225.2024.10636401","title":"Block Successive Convex Approximation for Concomitant Linear DAG Estimation","display_name":"Block Successive Convex Approximation for Concomitant Linear DAG Estimation","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4401881141","doi":"https://doi.org/10.1109/sam60225.2024.10636401"},"language":"en","primary_location":{"id":"doi:10.1109/sam60225.2024.10636401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam60225.2024.10636401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5075498431","display_name":"Seyed Saman Saboksayr","orcid":"https://orcid.org/0000-0002-8074-2228"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyed Saman Saboksayr","raw_affiliation_strings":["University of Rochester,Dept. of Electrical and Computer Eng"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester,Dept. of Electrical and Computer Eng","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006078163","display_name":"Gonzalo Mateos","orcid":"https://orcid.org/0000-0002-9847-6298"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gonzalo Mateos","raw_affiliation_strings":["University of Rochester,Dept. of Electrical and Computer Eng"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester,Dept. of Electrical and Computer Eng","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005986086","display_name":"Mariano Tepper","orcid":"https://orcid.org/0000-0001-6053-925X"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mariano Tepper","raw_affiliation_strings":["Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2715,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52988209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9865999817848206,"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/block","display_name":"Block (permutation group theory)","score":0.6101778745651245},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5558635592460632},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5315202474594116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4309505224227905},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3739030957221985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3480744957923889},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2794615626335144},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12779054045677185}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6101778745651245},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5558635592460632},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5315202474594116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4309505224227905},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3739030957221985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3480744957923889},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2794615626335144},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12779054045677185}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam60225.2024.10636401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam60225.2024.10636401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1530964327","https://openalex.org/W2029800614","https://openalex.org/W2033105784","https://openalex.org/W2064222729","https://openalex.org/W2073307618","https://openalex.org/W2099900459","https://openalex.org/W2109605413","https://openalex.org/W2116581043","https://openalex.org/W2135046866","https://openalex.org/W2154972590","https://openalex.org/W2338807306","https://openalex.org/W2416562393","https://openalex.org/W2885305518","https://openalex.org/W2996378342","https://openalex.org/W3099718522","https://openalex.org/W3104683333","https://openalex.org/W3121832289","https://openalex.org/W4211015534","https://openalex.org/W4213251304","https://openalex.org/W4256617328","https://openalex.org/W6631190155","https://openalex.org/W6631593755","https://openalex.org/W6676197543","https://openalex.org/W6678073474","https://openalex.org/W6745847063","https://openalex.org/W6748190454","https://openalex.org/W6754506371","https://openalex.org/W6761805307","https://openalex.org/W6780392805","https://openalex.org/W6784863571","https://openalex.org/W6842507390","https://openalex.org/W6856701027"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793"],"abstract_inverted_index":{"We":[0,103],"develop":[1],"a":[2,22,44,51,89,96,119,129,139,147,158],"novel":[3],"continuous":[4],"optimization":[5,74,94],"algorithm":[6],"to":[7,21,64,93,108,156,173],"recover":[8],"latent":[9],"directed":[10],"acyclic":[11],"graphs":[12],"(DAGs)":[13],"from":[14],"observational":[15],"(and":[16],"possibly":[17],"heteroscedastic)":[18],"data":[19],"adhering":[20],"linear":[23],"structural":[24],"equation":[25],"model":[26],"(SEM).":[27],"Our":[28],"starting":[29],"point":[30],"is":[31,126,137],"the":[32,110,123,144,165,168,174],"recently":[33],"proposed":[34,169],"Concomitant":[35],"Linear":[36],"DAG":[37,67,111],"Estimation":[38],"(CoLiDE)":[39],"framework,":[40],"which":[41],"advocates":[42],"minimizing":[43],"sparsity-regularized":[45],"convex":[46,99],"score":[47,61],"function":[48,62,136],"augmented":[49],"with":[50,70],"smooth,":[52],"nonconvex":[53],"acyclicity":[54,124],"penalty.":[55],"While":[56],"prior":[57],"work":[58],"focused":[59],"on":[60],"design":[63],"jointly":[65],"estimate":[66],"structure":[68,91],"along":[69],"exogenous":[71],"noise":[72,115],"levels,":[73],"aspects":[75],"were":[76],"left":[77],"unexplored.":[78],"To":[79],"bridge":[80],"this":[81],"gap,":[82],"here":[83],"we":[84],"show":[85],"that":[86],"CoLiDE":[87],"has":[88],"favorable":[90],"amenable":[92],"via":[95,153],"block":[97,178],"successive":[98],"approximation":[100,135],"(BSCA)":[101],"algorithm.":[102],"derive":[104],"efficient,":[105],"closed-form":[106],"updates":[107],"refine":[109],"adjacency":[112],"matrix":[113],"and":[114,132],"variance":[116],"estimates":[117],"in":[118],"cyclic":[120],"fashion.":[121],"Although":[122],"regularizer":[125],"devoid":[127],"of":[128,143,167],"Lipschitz":[130],"gradient":[131],"hence":[133],"our":[134],"not":[138],"global":[140],"upper":[141],"bound":[142],"original":[145,175],"cost,":[146],"descent":[148,180],"direction":[149],"can":[150],"be":[151],"obtained":[152],"line":[154],"search":[155],"yield":[157],"provably":[159],"convergent":[160],"sequence.":[161],"Numerical":[162],"tests":[163],"showcase":[164],"superiority":[166],"BSCA":[170],"iterations":[171],"relative":[172],"(Adam-based)":[176],"inexact":[177],"coordinate":[179],"solver.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}