{"id":"https://openalex.org/W2138779671","doi":"https://doi.org/10.1561/2200000044","title":"Determinantal Point Processes for Machine Learning","display_name":"Determinantal Point Processes for Machine Learning","publication_year":2012,"publication_date":"2012-12-18","ids":{"openalex":"https://openalex.org/W2138779671","doi":"https://doi.org/10.1561/2200000044","mag":"2138779671"},"language":"en","primary_location":{"id":"doi:10.1561/2200000044","is_oa":false,"landing_page_url":"https://doi.org/10.1561/2200000044","pdf_url":null,"source":{"id":"https://openalex.org/S4210188176","display_name":"Foundations and Trends\u00ae in Machine Learning","issn_l":"1935-8237","issn":["1935-8237","1935-8245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1207.6083","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032936063","display_name":"Alex Kulesza","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alex Kulesza","raw_affiliation_strings":["University of Michigan ,","University of Michigan , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan ,","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan , USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ben Taskar","orcid":null},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Taskar","raw_affiliation_strings":["University of Pennsylvania ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania ,","institution_ids":["https://openalex.org/I36788626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032936063"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":12.9103,"has_fulltext":false,"cited_by_count":627,"citation_normalized_percentile":{"value":0.99434528,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"5","issue":"2-3","first_page":"123","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"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/T13187","display_name":"Diffusion and Search Dynamics","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.6553112268447876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6516538858413696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6035991907119751},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5866872668266296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5226918458938599},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.48572736978530884},{"id":"https://openalex.org/keywords/random-matrix","display_name":"Random matrix","score":0.48300373554229736},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4634295403957367},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4403129816055298},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.43770426511764526},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43606051802635193},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.4251551032066345},{"id":"https://openalex.org/keywords/determinantal-point-process","display_name":"Determinantal point process","score":0.41016343235969543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2519526183605194},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.13345235586166382},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10829925537109375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10152274370193481}],"concepts":[{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.6553112268447876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516538858413696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6035991907119751},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5866872668266296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5226918458938599},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.48572736978530884},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.48300373554229736},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4634295403957367},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4403129816055298},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.43770426511764526},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43606051802635193},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4251551032066345},{"id":"https://openalex.org/C72010251","wikidata":"https://www.wikidata.org/wiki/Q5265688","display_name":"Determinantal point process","level":4,"score":0.41016343235969543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2519526183605194},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.13345235586166382},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10829925537109375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10152274370193481},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1561/2200000044","is_oa":false,"landing_page_url":"https://doi.org/10.1561/2200000044","pdf_url":null,"source":{"id":"https://openalex.org/S4210188176","display_name":"Foundations and Trends\u00ae in Machine Learning","issn_l":"1935-8237","issn":["1935-8237","1935-8245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1207.6083","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1207.6083","pdf_url":"https://arxiv.org/pdf/1207.6083","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1207.6083","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1207.6083","pdf_url":"https://arxiv.org/pdf/1207.6083","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":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":154,"referenced_works":["https://openalex.org/W18553681","https://openalex.org/W41776650","https://openalex.org/W168346156","https://openalex.org/W194740673","https://openalex.org/W581475362","https://openalex.org/W1205460133","https://openalex.org/W1492009297","https://openalex.org/W1511986666","https://openalex.org/W1532257412","https://openalex.org/W1542515633","https://openalex.org/W1552186532","https://openalex.org/W1560512119","https://openalex.org/W1566959760","https://openalex.org/W1577871831","https://openalex.org/W1586236210","https://openalex.org/W1591501385","https://openalex.org/W1593793857","https://openalex.org/W1641135400","https://openalex.org/W1669534384","https://openalex.org/W1680189815","https://openalex.org/W1814144709","https://openalex.org/W1944260052","https://openalex.org/W1958800402","https://openalex.org/W1962684803","https://openalex.org/W1965718516","https://openalex.org/W1968532429","https://openalex.org/W1969534994","https://openalex.org/W1972680839","https://openalex.org/W1974254497","https://openalex.org/W1977617751","https://openalex.org/W1978864992","https://openalex.org/W1980452149","https://openalex.org/W1981351071","https://openalex.org/W1989767847","https://openalex.org/W1993666847","https://openalex.org/W1995531293","https://openalex.org/W1997691213","https://openalex.org/W1998561183","https://openalex.org/W1999432334","https://openalex.org/W2005580324","https://openalex.org/W2006672084","https://openalex.org/W2006912660","https://openalex.org/W2008523404","https://openalex.org/W2014613951","https://openalex.org/W2017001763","https://openalex.org/W2019225550","https://openalex.org/W2022681869","https://openalex.org/W2023599408","https://openalex.org/W2026146953","https://openalex.org/W2026338082","https://openalex.org/W2030536784","https://openalex.org/W2035575256","https://openalex.org/W2037098674","https://openalex.org/W2037590223","https://openalex.org/W2037685751","https://openalex.org/W2040466507","https://openalex.org/W2040526835","https://openalex.org/W2042859738","https://openalex.org/W2043310665","https://openalex.org/W2045370718","https://openalex.org/W2045492898","https://openalex.org/W2047493173","https://openalex.org/W2049587182","https://openalex.org/W2051669046","https://openalex.org/W2053004324","https://openalex.org/W2053281886","https://openalex.org/W2054497025","https://openalex.org/W2058509556","https://openalex.org/W2060812572","https://openalex.org/W2061659723","https://openalex.org/W2066777487","https://openalex.org/W2068296307","https://openalex.org/W2071672723","https://openalex.org/W2072644219","https://openalex.org/W2073077804","https://openalex.org/W2073583227","https://openalex.org/W2074078071","https://openalex.org/W2076410399","https://openalex.org/W2080097826","https://openalex.org/W2080554697","https://openalex.org/W2083305840","https://openalex.org/W2083809226","https://openalex.org/W2089135543","https://openalex.org/W2092812368","https://openalex.org/W2093625674","https://openalex.org/W2094661073","https://openalex.org/W2098642746","https://openalex.org/W2100034662","https://openalex.org/W2101309634","https://openalex.org/W2103149536","https://openalex.org/W2104895009","https://openalex.org/W2106122512","https://openalex.org/W2106833206","https://openalex.org/W2108984739","https://openalex.org/W2110930696","https://openalex.org/W2112415766","https://openalex.org/W2123068277","https://openalex.org/W2124386111","https://openalex.org/W2127492100","https://openalex.org/W2129020860","https://openalex.org/W2130178369","https://openalex.org/W2136657878","https://openalex.org/W2140502500","https://openalex.org/W2142477181","https://openalex.org/W2143524933","https://openalex.org/W2143996311","https://openalex.org/W2145023731","https://openalex.org/W2147880316","https://openalex.org/W2150675045","https://openalex.org/W2151582349","https://openalex.org/W2154090186","https://openalex.org/W2154652894","https://openalex.org/W2154683049","https://openalex.org/W2156094048","https://openalex.org/W2156909104","https://openalex.org/W2158334272","https://openalex.org/W2158751803","https://openalex.org/W2159992248","https://openalex.org/W2164455301","https://openalex.org/W2169714917","https://openalex.org/W2187580259","https://openalex.org/W2293756138","https://openalex.org/W2319263515","https://openalex.org/W2408560832","https://openalex.org/W2490010345","https://openalex.org/W2497325191","https://openalex.org/W2525528836","https://openalex.org/W2757107770","https://openalex.org/W2949112927","https://openalex.org/W2949757959","https://openalex.org/W2950583156","https://openalex.org/W2951482518","https://openalex.org/W2952875095","https://openalex.org/W2979473749","https://openalex.org/W2990868538","https://openalex.org/W3101679549","https://openalex.org/W3101913037","https://openalex.org/W3104324249","https://openalex.org/W3104550708","https://openalex.org/W3138773240","https://openalex.org/W3158908792","https://openalex.org/W4213000408","https://openalex.org/W4230344464","https://openalex.org/W4230674625","https://openalex.org/W4230788237","https://openalex.org/W4236048596","https://openalex.org/W4236796448","https://openalex.org/W4238668545","https://openalex.org/W4243445458","https://openalex.org/W4243473133","https://openalex.org/W4245471492","https://openalex.org/W4250533120","https://openalex.org/W4251039345","https://openalex.org/W4256586530"],"related_works":["https://openalex.org/W2951327448","https://openalex.org/W3112662864","https://openalex.org/W4381191274","https://openalex.org/W2951222872","https://openalex.org/W4288327276","https://openalex.org/W2073583227","https://openalex.org/W2177179288","https://openalex.org/W3044388970","https://openalex.org/W4288349944","https://openalex.org/W1971235904"],"abstract_inverted_index":{"Determinantal":[0],"point":[1],"processes":[2],"(DPPs)":[3],"are":[4,71],"elegant":[5],"probabilistic":[6],"models":[7,24],"of":[8,39,93,118],"repulsion":[9],"that":[10,70],"arise":[11],"in":[12,36,110],"quantum":[13],"physics":[14],"and":[15,32,45,52,68,79,114],"random":[16,27],"matrix":[17],"theory.":[18],"In":[19],"contrast":[20],"to":[21,34,61,74,86],"traditional":[22],"structured":[23],"like":[25,89],"Markov":[26],"fields,":[28],"which":[29],"become":[30],"intractable":[31],"hard":[33],"approximate":[35],"the":[37,65,75],"presence":[38],"negative":[40],"correlations,":[41],"DPPs":[42,82],"offer":[43],"efficient":[44],"exact":[46],"algorithms":[47],"for":[48],"sampling,":[49],"marginalization,":[50],"conditioning,":[51],"other":[53],"inference":[54],"tasks.":[55],"We":[56],"provide":[57],"a":[58],"gentle":[59],"introduction":[60],"DPPs,":[62],"focusing":[63],"on":[64],"intuitions,":[66],"algorithms,":[67],"extensions":[69],"most":[72],"relevant":[73],"machine":[76],"learning":[77],"community,":[78],"show":[80],"how":[81],"can":[83],"be":[84],"applied":[85],"real-world":[87],"applications":[88],"finding":[90],"diverse":[91,102],"sets":[92],"high-quality":[94],"search":[95],"results,":[96],"building":[97,116],"informative":[98],"summaries":[99],"by":[100],"selecting":[101],"sentences":[103],"from":[104],"documents,":[105],"modeling":[106],"nonoverlapping":[107],"human":[108],"poses":[109],"images":[111],"or":[112],"video,":[113],"automatically":[115],"timelines":[117],"important":[119],"news":[120],"stories.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":37},{"year":2025,"cited_by_count":67},{"year":2024,"cited_by_count":62},{"year":2023,"cited_by_count":65},{"year":2022,"cited_by_count":56},{"year":2021,"cited_by_count":50},{"year":2020,"cited_by_count":65},{"year":2019,"cited_by_count":71},{"year":2018,"cited_by_count":52},{"year":2017,"cited_by_count":37},{"year":2016,"cited_by_count":31},{"year":2015,"cited_by_count":22},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}