{"id":"https://openalex.org/W2065049914","doi":"https://doi.org/10.1109/ciss.2015.7086879","title":"1-bit matrix completion under exact low-rank constraint","display_name":"1-bit matrix completion under exact low-rank constraint","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2065049914","doi":"https://doi.org/10.1109/ciss.2015.7086879","mag":"2065049914"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2015.7086879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Annual Conference on Information Sciences and Systems (CISS)","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/A5035458265","display_name":"Sonia A. Bhaskar","orcid":null},"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":true,"raw_author_name":"Sonia A. Bhaskar","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA","Department of Electrical Engineering, Stanford University, CA 94304, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, CA 94304, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010342958","display_name":"Adel Javanmard","orcid":"https://orcid.org/0000-0003-1934-8747"},"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":"Adel Javanmard","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA","Department of Electrical Engineering, Stanford University, CA 94304, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, CA 94304, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035458265"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":3.3437,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91224051,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/low-rank-approximation","display_name":"Low-rank approximation","score":0.64284747838974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6388143301010132},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.6125733852386475},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5444250702857971},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5333850979804993},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.530222475528717},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5177308917045593},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5018494129180908},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.45151427388191223},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.44724905490875244},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.431123822927475},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.42462751269340515},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.33612120151519775},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.26389163732528687}],"concepts":[{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.64284747838974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6388143301010132},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.6125733852386475},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5444250702857971},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5333850979804993},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.530222475528717},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5177308917045593},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5018494129180908},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.45151427388191223},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.44724905490875244},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.431123822927475},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.42462751269340515},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.33612120151519775},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.26389163732528687},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2015.7086879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1996023858","https://openalex.org/W2000157792","https://openalex.org/W2028249732","https://openalex.org/W2054141820","https://openalex.org/W2071159364","https://openalex.org/W2105767123","https://openalex.org/W2116950495","https://openalex.org/W2118425803","https://openalex.org/W2130420190","https://openalex.org/W2143075842","https://openalex.org/W2144730813","https://openalex.org/W2170402521","https://openalex.org/W2963381277","https://openalex.org/W2964075618","https://openalex.org/W2964200481","https://openalex.org/W4250589301","https://openalex.org/W6649104753","https://openalex.org/W6677493787","https://openalex.org/W6677837081","https://openalex.org/W6684837575"],"related_works":["https://openalex.org/W2964006653","https://openalex.org/W2788826952","https://openalex.org/W4302315572","https://openalex.org/W2084983808","https://openalex.org/W2325477568","https://openalex.org/W1991825408","https://openalex.org/W3144354057","https://openalex.org/W4318564253","https://openalex.org/W1969698720","https://openalex.org/W1507830821"],"abstract_inverted_index":{"We":[0,50,87,128,159],"consider":[1,51],"the":[2,15,26,62,85,93,102,115,125,146,161],"problem":[3],"of":[4,21,25,30,38,56,65,117,124,142,145,157],"noisy":[5,27,39],"1-bit":[6,40,119],"matrix":[7,18,32,94,112,126],"completion":[8],"under":[9,58,97],"an":[10,68,89,131],"exact":[11,69],"rank":[12,70,155],"constraint":[13,60],"on":[14,61,92,153,163],"true":[16],"underlying":[17],"M*.":[19,158],"Instead":[20],"observing":[22],"a":[23,31,36,47,59,140],"subset":[24,37],"continuous-valued":[28],"entries":[29],"M*,":[33,57],"we":[34],"observe":[35],"(or":[41],"binary)":[42],"measurements":[43],"generated":[44],"according":[45],"to":[46,76,101],"probabilistic":[48],"model.":[49,99],"constrained":[52],"maximum":[53],"likelihood":[54],"estimation":[55,95],"entry-wise":[63],"infinity-norm":[64],"M*":[66],"and":[67,165],"constraint.":[71],"This":[72,149],"is":[73,121,151],"in":[74],"contrast":[75],"previous":[77],"work":[78],"which":[79],"has":[80,107],"used":[81],"convex":[82],"relaxations":[83],"for":[84,134],"rank.":[86],"provide":[88],"upper":[90],"bound":[91,106],"error":[96],"this":[98],"Compared":[100],"existing":[103,172],"results,":[104],"our":[105,136],"faster":[108],"convergence":[109],"rate":[110],"with":[111,139,168],"dimensions":[113],"when":[114],"fraction":[116],"revealed":[118],"observations":[120],"fixed,":[122],"independent":[123],"dimensions.":[127],"also":[129],"propose":[130],"iterative":[132],"algorithm":[133,150],"solving":[135],"nonconvex":[137],"optimization":[138],"certificate":[141],"global":[143],"optimality":[144],"limiting":[147],"point.":[148],"based":[152],"low":[154],"factorization":[156],"validate":[160],"method":[162],"synthetic":[164],"real":[166],"data":[167],"improved":[169],"performance":[170],"over":[171],"methods.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
