{"id":"https://openalex.org/W3111216455","doi":"https://doi.org/10.1145/3406325.3451074","title":"Learning Ising models from one or multiple samples","display_name":"Learning Ising models from one or multiple samples","publication_year":2021,"publication_date":"2021-06-15","ids":{"openalex":"https://openalex.org/W3111216455","doi":"https://doi.org/10.1145/3406325.3451074","mag":"3111216455"},"language":"en","primary_location":{"id":"doi:10.1145/3406325.3451074","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3406325.3451074","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3406325.3451074","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3406325.3451074","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036969610","display_name":"Yuval Dagan","orcid":"https://orcid.org/0000-0002-7940-4002"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuval Dagan","raw_affiliation_strings":["Massachusetts Institute of Technology, USA","Massachusetts Institute Of Technology#TAB#"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034822411","display_name":"Constantinos Daskalakis","orcid":"https://orcid.org/0000-0002-5451-0490"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Constantinos Daskalakis","raw_affiliation_strings":["Massachusetts Institute of Technology, USA","Massachusetts Institute Of Technology#TAB#"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000758286","display_name":"Nishanth Dikkala","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nishanth Dikkala","raw_affiliation_strings":["Google, USA / Massachusetts Institute of Technology, USA","Google,,,,,"],"affiliations":[{"raw_affiliation_string":"Google, USA / Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I1291425158","https://openalex.org/I63966007"]},{"raw_affiliation_string":"Google,,,,,","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073817651","display_name":"Anthimos Vardis Kandiros","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthimos Vardis Kandiros","raw_affiliation_strings":["Massachusetts Institute of Technology, USA","Massachusetts Institute Of Technology#TAB#"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036969610"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02075453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"161","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9977999925613403,"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":0.9977999925613403,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9975000023841858,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9973999857902527,"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/ising-model","display_name":"Ising model","score":0.7882839441299438},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5585501790046692},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5205867886543274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5167209506034851},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5102005004882812},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4981396198272705},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.454253226518631},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4423461854457855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41013574600219727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3349539041519165},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.32011228799819946},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.2571945786476135}],"concepts":[{"id":"https://openalex.org/C51329190","wikidata":"https://www.wikidata.org/wiki/Q1076349","display_name":"Ising model","level":2,"score":0.7882839441299438},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5585501790046692},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5205867886543274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5167209506034851},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5102005004882812},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4981396198272705},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.454253226518631},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4423461854457855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41013574600219727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3349539041519165},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.32011228799819946},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.2571945786476135},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/3406325.3451074","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3406325.3451074","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3406325.3451074","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.09370","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.09370","pdf_url":"https://arxiv.org/pdf/2004.09370","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:3111216455","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2004.09370.pdf","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:dspace.mit.edu:1721.1/143465","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/143465","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"pmh:oai:dspace.mit.edu:1721.1/143465.2","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/143465.2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"doi:10.48550/arxiv.2004.09370","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.09370","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":"doi:10.1145/3406325.3451074","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3406325.3451074","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3406325.3451074","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5270222991","display_name":"BIGDATA: F: Testing High Dimensional Distributions without the Curse of Dimensionality","funder_award_id":"1741137","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5810733874","display_name":null,"funder_award_id":"CCF-1617730","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8679789787","display_name":null,"funder_award_id":"1617730","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3111216455.pdf","grobid_xml":"https://content.openalex.org/works/W3111216455.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W28766783","https://openalex.org/W85976583","https://openalex.org/W165498608","https://openalex.org/W1911139898","https://openalex.org/W1966286513","https://openalex.org/W1969880349","https://openalex.org/W1977414200","https://openalex.org/W1984097061","https://openalex.org/W1987107795","https://openalex.org/W1989307393","https://openalex.org/W1999150260","https://openalex.org/W2009754940","https://openalex.org/W2023726000","https://openalex.org/W2025183578","https://openalex.org/W2028226037","https://openalex.org/W2032291279","https://openalex.org/W2040583004","https://openalex.org/W2054982204","https://openalex.org/W2068674173","https://openalex.org/W2068871408","https://openalex.org/W2075672181","https://openalex.org/W2079682427","https://openalex.org/W2087922788","https://openalex.org/W2088794759","https://openalex.org/W2106153257","https://openalex.org/W2108829665","https://openalex.org/W2114220616","https://openalex.org/W2114389382","https://openalex.org/W2120340025","https://openalex.org/W2128208871","https://openalex.org/W2142925354","https://openalex.org/W2163166770","https://openalex.org/W2163310340","https://openalex.org/W2168970605","https://openalex.org/W2169300452","https://openalex.org/W2253472364","https://openalex.org/W2582593119","https://openalex.org/W2619150456","https://openalex.org/W2619760762","https://openalex.org/W2784703733","https://openalex.org/W2785015228","https://openalex.org/W2787248994","https://openalex.org/W2788065553","https://openalex.org/W2944188256","https://openalex.org/W2950493658","https://openalex.org/W2963168157","https://openalex.org/W2963245826","https://openalex.org/W2963266994","https://openalex.org/W2963326510","https://openalex.org/W2963574294","https://openalex.org/W2963996768","https://openalex.org/W2966252424","https://openalex.org/W2970446550","https://openalex.org/W2981101123","https://openalex.org/W2987822190","https://openalex.org/W3022057770","https://openalex.org/W3098265275","https://openalex.org/W3098888484","https://openalex.org/W3101776574","https://openalex.org/W3102446558","https://openalex.org/W3102676469","https://openalex.org/W3105856171","https://openalex.org/W3121891159","https://openalex.org/W3122166967","https://openalex.org/W3124280932","https://openalex.org/W3125904850","https://openalex.org/W4250460511","https://openalex.org/W4293052541","https://openalex.org/W6601201599"],"related_works":["https://openalex.org/W2964336134","https://openalex.org/W315624487","https://openalex.org/W2536553067","https://openalex.org/W2750579340","https://openalex.org/W2962972948","https://openalex.org/W2600006013","https://openalex.org/W3139399567","https://openalex.org/W3104329494","https://openalex.org/W2912371996","https://openalex.org/W329869691","https://openalex.org/W2908620745","https://openalex.org/W3016223826","https://openalex.org/W1689407543","https://openalex.org/W2431536272","https://openalex.org/W2890717170","https://openalex.org/W2951168830","https://openalex.org/W3195656583","https://openalex.org/W101457924","https://openalex.org/W1990948184","https://openalex.org/W2901118987"],"abstract_inverted_index":{"There":[0],"have":[1],"been":[2],"two":[3,48],"main":[4],"lines":[5],"of":[6],"work":[7],"on":[8],"estimating":[9,13,30],"Ising":[10],"models:":[11],"(1)":[12],"them":[14,31],"from":[15,32,55],"multiple":[16],"independent":[17],"samples":[18],"under":[19],"minimal":[20],"assumptions":[21],"about":[22],"the":[23],"model's":[24],"interaction":[25],"matrix":[26],";":[27],"and":[28],"(2)":[29],"one":[33],"sample":[34],"in":[35],"restrictive":[36],"settings.":[37],"We":[38],"propose":[39],"a":[40,57],"unified":[41],"framework":[42],"that":[43],"smoothly":[44],"interpolates":[45],"between":[46],"these":[47],"settings,":[49],"enabling":[50],"significantly":[51],"richer":[52],"estimation":[53],"guarantees":[54],"one,":[56],"few,":[58],"or":[59],"many":[60],"samples.":[61]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}