{"id":"https://openalex.org/W3118627401","doi":"https://doi.org/10.15167/carratino-luigi_phd2020-03-20","title":"Resource Efficient Large-Scale Machine Learning","display_name":"Resource Efficient Large-Scale Machine Learning","publication_year":2020,"publication_date":"2020-03-20","ids":{"openalex":"https://openalex.org/W3118627401","doi":"https://doi.org/10.15167/carratino-luigi_phd2020-03-20","mag":"3118627401"},"language":"en","primary_location":{"id":"pmh:oai:iris.unige.it:11567/1001813","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/1001813","pdf_url":"http://hdl.handle.net/11567/1001813","source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"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":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11567/1001813","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013505114","display_name":"Luigi Carratino","orcid":"https://orcid.org/0000-0001-9947-9944"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"CARRATINO, LUIGI","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9947-9944","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013505114"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18759691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6694999933242798,"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/T10320","display_name":"Neural Networks and Applications","score":0.6694999933242798,"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/scale","display_name":"Scale (ratio)","score":0.5951003432273865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5608192682266235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45234763622283936},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.42893102765083313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37277454137802124},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.126620352268219}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5951003432273865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5608192682266235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45234763622283936},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.42893102765083313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37277454137802124},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.126620352268219},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:iris.unige.it:11567/1001813","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/1001813","pdf_url":"http://hdl.handle.net/11567/1001813","source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"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":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"doi:10.15167/carratino-luigi_phd2020-03-20","is_oa":true,"landing_page_url":"https://doi.org/10.15167/carratino-luigi_phd2020-03-20","pdf_url":null,"source":{"id":"https://openalex.org/S7407050993","display_name":"Universit\u00e0 degli Studi di Genova","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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-journal"},{"id":"mag:3118627401","is_oa":false,"landing_page_url":"https://iris.unige.it/handle/11567/1001813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:iris.unige.it:11567/1001813","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/1001813","pdf_url":"http://hdl.handle.net/11567/1001813","source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"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":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5099999904632568,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3118627401.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3110893052","https://openalex.org/W3167713599","https://openalex.org/W3177904217","https://openalex.org/W626665834","https://openalex.org/W3113376956","https://openalex.org/W2949689659","https://openalex.org/W2736528221","https://openalex.org/W2196733587","https://openalex.org/W1024017524","https://openalex.org/W2344367812","https://openalex.org/W3166872234","https://openalex.org/W3107199681","https://openalex.org/W2654633818","https://openalex.org/W2283019169","https://openalex.org/W2905804329","https://openalex.org/W2907282457","https://openalex.org/W2737397608","https://openalex.org/W2482340924","https://openalex.org/W2887125173","https://openalex.org/W3144784341"],"abstract_inverted_index":{"Non-parametric":[0],"models":[1],"provide":[2],"a":[3,192,208,214,246,251,267,271],"principled":[4],"way":[5],"to":[6,130,137,181,190,241],"learn":[7],"non-linear":[8],"functions.":[9],"In":[10,85,145],"particular,":[11,146],"kernel":[12,92],"methods":[13],"are":[14],"accurate":[15,216,253],"prediction":[16],"tools":[17],"that":[18,98,197,221],"rely":[19],"on":[20,76,90,201,207],"solid":[21],"theoretical":[22,256],"foundations.":[23],"Although":[24],"they":[25,30],"enjoy":[26],"optimal":[27,195],"statistical":[28,119,139,168],"properties,":[29],"have":[31],"limited":[32],"applicability":[33],"in":[34,44,245,263],"real-world":[35],"large-scale":[36],"scenarios":[37],"because":[38],"of":[39,46,61,63,68,78,83,174,203,205,274],"their":[40,51],"stringent":[41],"computational":[42,52,121,172],"requirements":[43],"terms":[45],"time":[47,280],"and":[48,66,112,120,155,170,186,258,281],"memory.":[49],"Indeed":[50],"costs":[53],"scale":[54,200,242],"at":[55],"least":[56],"quadratically":[57],"with":[58,134,235,278],"the":[59,64,69,118,127,138,143,149,161,167,171,175,183,225,232,259],"number":[60],"points":[62,206],"dataset":[65],"many":[67],"modern":[70],"machine":[71],"learning":[72],"challenges":[73],"requires":[74],"training":[75],"datasets":[77,202],"millions":[79,204],"if":[80],"not":[81],"billions":[82],"points.":[84],"this":[86,264],"thesis,":[87],"we":[88,106,147,229],"focus":[89],"scaling":[91],"methods,":[93],"developing":[94],"novel":[95],"algorithmic":[96],"solutions":[97,133],"incorporate":[99],"budgeted":[100],"computations.":[101],"To":[102],"derive":[103,131,191,213],"these":[104],"algorithms":[105,261,277],"mix":[107],"ideas":[108],"from":[109],"statistics,":[110],"optimization,":[111],"randomized":[113],"linear":[114],"algebra.":[115],"We":[116,177,211],"study":[117,148],"trade-offs":[122],"for":[123],"various":[124],"non-parametric":[125,276],"models,":[126],"key":[128],"component":[129],"numerical":[132],"resources":[135],"tailored":[136],"accuracy":[140],"allowed":[141],"by":[142,152],"data.":[144],"estimator":[150],"defined":[151],"stochastic":[153],"gradients":[154],"random":[156],"features,":[157],"showing":[158],"how":[159,180,231],"all":[160],"free":[162],"parameters":[163],"provably":[164,193,215,252],"govern":[165],"both":[166],"properties":[169],"complexity":[173],"algorithm.":[176,254],"then":[178],"see":[179,230],"blend":[182],"Nystr\ufffdm":[184,233],"approximation":[185,234],"preconditioned":[187],"conjugate":[188],"gradient":[189],"statistically":[194],"solver":[196],"can":[198,222,238],"easily":[199],"single":[209],"machine.":[210],"also":[212],"leverage":[217,236],"score":[218],"sampling":[219],"algorithm":[220],"further":[223],"improve":[224],"latter":[226],"solver.":[227],"Finally,":[228],"scores":[237],"be":[239],"used":[240],"Gaussian":[243],"processes":[244],"bandit":[247],"optimization":[248],"setting":[249],"deriving":[250],"The":[255],"analysis":[257],"new":[260,272],"presented":[262],"work":[265],"represent":[266],"step":[268],"towards":[269],"building":[270],"generation":[273],"efficient":[275],"minimal":[279],"memory":[282],"footprints.":[283]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}