{"id":"https://openalex.org/W2976727616","doi":"https://doi.org/10.1109/isit.2019.8849254","title":"Structure Learning of Similar Ising Models: Information-theoretic Bounds","display_name":"Structure Learning of Similar Ising Models: Information-theoretic Bounds","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2976727616","doi":"https://doi.org/10.1109/isit.2019.8849254","mag":"2976727616"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2019.8849254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","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/A5066854885","display_name":"Saurabh Sihag","orcid":"https://orcid.org/0000-0001-9209-7943"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saurabh Sihag","raw_affiliation_strings":["Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054103414","display_name":"Ali Tajer","orcid":"https://orcid.org/0000-0002-3513-4135"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Tajer","raw_affiliation_strings":["Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066854885"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":0.2894,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6713102,"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":"1307","last_page":"1311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9750000238418579,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9750000238418579,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9240999817848206,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9211999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ising-model","display_name":"Ising model","score":0.8049558401107788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.603091835975647},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45274481177330017},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3923618495464325},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1583796739578247}],"concepts":[{"id":"https://openalex.org/C51329190","wikidata":"https://www.wikidata.org/wiki/Q1076349","display_name":"Ising model","level":2,"score":0.8049558401107788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603091835975647},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45274481177330017},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3923618495464325},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1583796739578247}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2019.8849254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1549171236","https://openalex.org/W1754350508","https://openalex.org/W1840615978","https://openalex.org/W1987810983","https://openalex.org/W2030007476","https://openalex.org/W2096698247","https://openalex.org/W2100270478","https://openalex.org/W2103319105","https://openalex.org/W2108829665","https://openalex.org/W2112814716","https://openalex.org/W2121591532","https://openalex.org/W2127610506","https://openalex.org/W2143891888","https://openalex.org/W2152890020","https://openalex.org/W2165009258","https://openalex.org/W2165172871","https://openalex.org/W2165874563","https://openalex.org/W2500004684","https://openalex.org/W2950225911","https://openalex.org/W2963206652","https://openalex.org/W2963933283","https://openalex.org/W3104367152","https://openalex.org/W6678454853","https://openalex.org/W6684415991"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4386952843","https://openalex.org/W2744148269","https://openalex.org/W2361727315","https://openalex.org/W4386765220","https://openalex.org/W4386320387","https://openalex.org/W4255387243","https://openalex.org/W1979989913","https://openalex.org/W758601826"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,7,26,29,38,58,62,85,94,100,105,108,113,124,127,135,150,155],"problem":[4],"of":[5,9,12,32,46,61,64,74,91,111,152],"estimating":[6],"structures":[8,50,63],"a":[10,43,140],"pair":[11],"structurally":[13],"similar":[14],"graphs":[15,27,114],"associated":[16],"with":[17,34,37,104],"two":[18,95],"distinct":[19],"Ising":[20,75],"models.":[21],"It":[22],"is":[23,57,119,149,159],"assumed":[24],"that":[25,42,120],"have":[28,48],"same":[30],"number":[31,151],"nodes":[33,47,153],"unknown":[35],"structures,":[36,134],"additional":[39],"side":[40],"information":[41,125],"known":[44],"subset":[45],"identical":[49,128],"(connectivity)":[51],"in":[52,154],"both":[53,65,133],"graphs.":[54,66],"The":[55,67],"objective":[56],"exact":[59],"recovery":[60],"bounded":[68,71,89],"degree":[69],"and":[70,79,81,157],"edge":[72],"sub-classes":[73],"models":[76],"are":[77,97,102],"investigated,":[78],"necessary":[80],"sufficient":[82],"conditions":[83,106],"on":[84,107],"sample":[86,109,136],"complexity":[87,110,137],"for":[88],"probability":[90],"error":[92],"under":[93],"criteria":[96],"established.":[98],"Furthermore,":[99],"results":[101],"compared":[103],"recovering":[112,132],"independently.":[115],"One":[116],"major":[117],"observation":[118],"by":[121,130,139],"judicially":[122],"leveraging":[123],"about":[126],"sub-graphs":[129],"jointly":[131],"reduces":[138],"factor":[141],"cp":[142],"<sup":[143],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[145],",":[146],"where":[147],"p":[148],"graph":[156],"c":[158],"some":[160],"constant.":[161]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
