{"id":"https://openalex.org/W3024528607","doi":"https://doi.org/10.1109/jsait.2020.3040999","title":"Convex Parameter Recovery for Interacting Marked Processes","display_name":"Convex Parameter Recovery for Interacting Marked Processes","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3024528607","doi":"https://doi.org/10.1109/jsait.2020.3040999","mag":"3024528607"},"language":"en","primary_location":{"id":"doi:10.1109/jsait.2020.3040999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2020.3040999","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Information Theory","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.12935","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039659947","display_name":"Anatoli Juditsky","orcid":"https://orcid.org/0000-0001-5231-363X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR","US"],"is_corresponding":true,"raw_author_name":"Anatoli Juditsky","raw_affiliation_strings":["LJK, Universit\u00e9 Grenoble Alpes, Campus de Saint-Martin-d\u2019H\u00e8res, Grenoble, France","#N#\u2021#N#Georgia Institute of Technology#N#"],"affiliations":[{"raw_affiliation_string":"LJK, Universit\u00e9 Grenoble Alpes, Campus de Saint-Martin-d\u2019H\u00e8res, Grenoble, France","institution_ids":["https://openalex.org/I899635006","https://openalex.org/I4210149092"]},{"raw_affiliation_string":"#N#\u2021#N#Georgia Institute of Technology#N#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018700487","display_name":"Arkadi Nemirovski","orcid":"https://orcid.org/0000-0002-5001-7420"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arkadi Nemirovski","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","#N#\u2021#N#Georgia Institute of Technology#N#"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"#N#\u2021#N#Georgia Institute of Technology#N#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075007159","display_name":"Liyan Xie","orcid":"https://orcid.org/0000-0003-3009-4514"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liyan Xie","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","#N#\u2021#N#Georgia Institute of Technology#N#"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"#N#\u2021#N#Georgia Institute of Technology#N#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047736740","display_name":"Yao Xie","orcid":"https://orcid.org/0000-0001-6777-2951"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Yao Xie","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Universite Grenoble-Alpes"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Universite Grenoble-Alpes","institution_ids":["https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039659947"],"corresponding_institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4210149092","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":0.4411,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64928346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"1","issue":"3","first_page":"799","last_page":"813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9846000075340271,"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/T11830","display_name":"Point processes and geometric inequalities","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6400401592254639},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6304027438163757},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.6145910024642944},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.6114121079444885},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.5454328060150146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.509121835231781},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.500847578048706},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4786625802516937},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.44300851225852966},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.43854472041130066},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.43419793248176575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4194519519805908},{"id":"https://openalex.org/keywords/bernoulli-trial","display_name":"Bernoulli trial","score":0.4165131747722626},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3394777178764343},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23156702518463135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19300639629364014}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6400401592254639},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6304027438163757},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.6145910024642944},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.6114121079444885},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.5454328060150146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.509121835231781},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.500847578048706},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4786625802516937},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.44300851225852966},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.43854472041130066},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.43419793248176575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4194519519805908},{"id":"https://openalex.org/C46802686","wikidata":"https://www.wikidata.org/wiki/Q1077800","display_name":"Bernoulli trial","level":2,"score":0.4165131747722626},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3394777178764343},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23156702518463135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19300639629364014},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/jsait.2020.3040999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2020.3040999","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2003.12935","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.12935","pdf_url":"https://arxiv.org/pdf/2003.12935","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:3024528607","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2003.12935","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":"pmh:oai:HAL:hal-03185491v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03185491","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal on Selected Areas in Information Theory, 2020, 1 (3), pp.799-813. ⟨10.1109/JSAIT.2020.3040999⟩","raw_type":"Journal articles"},{"id":"doi:10.48550/arxiv.2003.12935","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.12935","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.12935","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.12935","pdf_url":"https://arxiv.org/pdf/2003.12935","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":[{"id":"https://metadata.un.org/sdg/16","score":0.6700000166893005,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3734943430","display_name":null,"funder_award_id":"CCF-1523768","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4477870991","display_name":null,"funder_award_id":"DMS-1830210","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4996304644","display_name":null,"funder_award_id":"DMS-1938106","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7544742008","display_name":null,"funder_award_id":"401371/2014-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G855777396","display_name":null,"funder_award_id":"CCF-1650913","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W138372711","https://openalex.org/W211625369","https://openalex.org/W1519516901","https://openalex.org/W1973168503","https://openalex.org/W1987613448","https://openalex.org/W1995186214","https://openalex.org/W1999678910","https://openalex.org/W2042299084","https://openalex.org/W2045148236","https://openalex.org/W2057139325","https://openalex.org/W2069849731","https://openalex.org/W2082373836","https://openalex.org/W2083459869","https://openalex.org/W2101645017","https://openalex.org/W2123906784","https://openalex.org/W2155458379","https://openalex.org/W2164067128","https://openalex.org/W2168715086","https://openalex.org/W2293415235","https://openalex.org/W2328875713","https://openalex.org/W2396881363","https://openalex.org/W2403458786","https://openalex.org/W2527091029","https://openalex.org/W2528498203","https://openalex.org/W2622011421","https://openalex.org/W2738586679","https://openalex.org/W2753618851","https://openalex.org/W2804875754","https://openalex.org/W2952596119","https://openalex.org/W2962746936","https://openalex.org/W2963559990","https://openalex.org/W2963913959","https://openalex.org/W2980581521","https://openalex.org/W3101926230","https://openalex.org/W3102356873","https://openalex.org/W3104587455","https://openalex.org/W3126049940","https://openalex.org/W6675448251","https://openalex.org/W6712503630","https://openalex.org/W6739443373","https://openalex.org/W6742104995","https://openalex.org/W6743983265","https://openalex.org/W6751897535","https://openalex.org/W6785662439"],"related_works":["https://openalex.org/W2121278962","https://openalex.org/W3105661472","https://openalex.org/W2912708663","https://openalex.org/W2246417778","https://openalex.org/W1960700909","https://openalex.org/W3128929428","https://openalex.org/W2609763701","https://openalex.org/W2507491157","https://openalex.org/W2972096277","https://openalex.org/W3128560683","https://openalex.org/W3034907790","https://openalex.org/W3105093154","https://openalex.org/W2949692310","https://openalex.org/W2210864573","https://openalex.org/W1494236600","https://openalex.org/W2750570252","https://openalex.org/W2167809057","https://openalex.org/W2247318628","https://openalex.org/W1573478458","https://openalex.org/W3200863653"],"abstract_inverted_index":{"We":[0,53,103,129],"introduce":[1],"a":[2,34,40,148],"new":[3],"general":[4,97],"modeling":[5],"approach":[6,135],"for":[7],"multivariate":[8],"discrete":[9],"event":[10,32],"data":[11],"with":[12,126],"categorical":[13],"interacting":[14],"marks,":[15],"which":[16,120],"we":[17],"refer":[18],"to":[19,37,58,72],"as":[20,65],"marked":[21],"Bernoulli":[22],"processes.":[23],"In":[24,88],"the":[25,28,110,138],"proposed":[26,141],"model,":[27],"probability":[29],"of":[30,33,77,85,133,140],"an":[31,74],"specific":[35],"category":[36],"occur":[38],"in":[39],"location":[41],"may":[42],"be":[43,59],"influenced":[44],"by":[45,95],"past":[46],"events":[47,84],"at":[48],"this":[49],"and":[50,83,115,136,147],"other":[51],"locations.":[52],"do":[54],"not":[55],"restrict":[56],"interactions":[57],"positive":[60],"or":[61],"decaying":[62],"over":[63],"time":[64],"it":[66],"is":[67,93],"commonly":[68],"adopted,":[69],"allowing":[70,96],"us":[71],"capture":[73],"arbitrary":[75],"shape":[76],"influence":[78],"from":[79],"historical":[80],"events,":[81],"locations,":[82],"different":[86,131],"categories.":[87],"our":[89,134],"modeling,":[90],"prior":[91],"knowledge":[92],"incorporated":[94],"convex":[98],"constraints":[99],"on":[100,144],"model":[101],"parameters.":[102],"develop":[104],"two":[105],"parameter":[106],"estimation":[107],"procedures":[108],"utilizing":[109],"constrained":[111],"Least":[112],"Squares":[113],"(LS)":[114],"Maximum":[116],"Likelihood":[117],"(ML)":[118],"estimation,":[119],"are":[121],"solved":[122],"using":[123],"variational":[124],"inequalities":[125],"monotone":[127],"operators.":[128],"discuss":[130],"applications":[132],"illustrate":[137],"performance":[139],"recovery":[142],"routines":[143],"synthetic":[145],"examples":[146],"real-world":[149],"police":[150],"dataset.":[151]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}