{"id":"https://openalex.org/W2808146197","doi":"https://doi.org/10.24963/ijcai.2018/36","title":"Deep Learning for Multi-Facility Location Mechanism Design","display_name":"Deep Learning for Multi-Facility Location Mechanism Design","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808146197","doi":"https://doi.org/10.24963/ijcai.2018/36","mag":"2808146197"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/36","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/36","pdf_url":"https://www.ijcai.org/proceedings/2018/0036.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0036.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089252105","display_name":"Noah Golowich","orcid":"https://orcid.org/0000-0003-2274-7861"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah Golowich","raw_affiliation_strings":["Harvard University, SEAS, 33 Oxford Street, Cambridge, MA, 02138"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, SEAS, 33 Oxford Street, Cambridge, MA, 02138","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077482746","display_name":"Harikrishna Narasimhan","orcid":"https://orcid.org/0009-0007-0476-6635"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harikrishna Narasimhan","raw_affiliation_strings":["Harvard University, SEAS, 33 Oxford Street, Cambridge, MA, 02138"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, SEAS, 33 Oxford Street, Cambridge, MA, 02138","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086173064","display_name":"David C. Parkes","orcid":"https://orcid.org/0000-0002-2701-3464"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David C. Parkes","raw_affiliation_strings":["Harvard University, SEAS, 33 Oxford Street, Cambridge, MA, 02138"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, SEAS, 33 Oxford Street, Cambridge, MA, 02138","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I136199984"],"apc_list":null,"apc_paid":null,"fwci":70.8175,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.99899669,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/learnability","display_name":"Learnability","score":0.9034858345985413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.691447913646698},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5984432697296143},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5739302635192871},{"id":"https://openalex.org/keywords/facility-location-problem","display_name":"Facility location problem","score":0.5667605400085449},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5391981601715088},{"id":"https://openalex.org/keywords/proof-of-concept","display_name":"Proof of concept","score":0.5303502678871155},{"id":"https://openalex.org/keywords/design-strategy","display_name":"Design strategy","score":0.49408605694770813},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.45977553725242615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45400476455688477},{"id":"https://openalex.org/keywords/social-choice-theory","display_name":"Social choice theory","score":0.4507647454738617},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3553863763809204},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32324010133743286},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.30373987555503845},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17750868201255798},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15521731972694397},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.12333983182907104},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09535011649131775}],"concepts":[{"id":"https://openalex.org/C2777723229","wikidata":"https://www.wikidata.org/wiki/Q4367921","display_name":"Learnability","level":2,"score":0.9034858345985413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.691447913646698},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5984432697296143},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5739302635192871},{"id":"https://openalex.org/C108005400","wikidata":"https://www.wikidata.org/wiki/Q1305598","display_name":"Facility location problem","level":2,"score":0.5667605400085449},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5391981601715088},{"id":"https://openalex.org/C124978682","wikidata":"https://www.wikidata.org/wiki/Q1201019","display_name":"Proof of concept","level":2,"score":0.5303502678871155},{"id":"https://openalex.org/C124216869","wikidata":"https://www.wikidata.org/wiki/Q7621833","display_name":"Design strategy","level":2,"score":0.49408605694770813},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.45977553725242615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45400476455688477},{"id":"https://openalex.org/C189352744","wikidata":"https://www.wikidata.org/wiki/Q1971461","display_name":"Social choice theory","level":2,"score":0.4507647454738617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3553863763809204},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32324010133743286},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30373987555503845},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17750868201255798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15521731972694397},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.12333983182907104},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09535011649131775},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/36","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/36","pdf_url":"https://www.ijcai.org/proceedings/2018/0036.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/36","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/36","pdf_url":"https://www.ijcai.org/proceedings/2018/0036.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808146197.pdf","grobid_xml":"https://content.openalex.org/works/W2808146197.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W99157012","https://openalex.org/W318376482","https://openalex.org/W1536918079","https://openalex.org/W1542886316","https://openalex.org/W1595716775","https://openalex.org/W1826494558","https://openalex.org/W1974895756","https://openalex.org/W1981122704","https://openalex.org/W2013000318","https://openalex.org/W2014607560","https://openalex.org/W2043715088","https://openalex.org/W2067594415","https://openalex.org/W2083397025","https://openalex.org/W2122124037","https://openalex.org/W2129678216","https://openalex.org/W2154843747","https://openalex.org/W2155975756","https://openalex.org/W2186092591","https://openalex.org/W2293093810","https://openalex.org/W2342119413","https://openalex.org/W2568674247","https://openalex.org/W2573152691","https://openalex.org/W2573290207","https://openalex.org/W2808357408","https://openalex.org/W2950290776","https://openalex.org/W2950704505","https://openalex.org/W2963972304","https://openalex.org/W3029645440","https://openalex.org/W4249659175","https://openalex.org/W4285719527","https://openalex.org/W4293775970"],"related_works":["https://openalex.org/W4302791369","https://openalex.org/W2951285859","https://openalex.org/W2766040214","https://openalex.org/W72092541","https://openalex.org/W1973394166","https://openalex.org/W37360785","https://openalex.org/W180475243","https://openalex.org/W2098466205","https://openalex.org/W1966604104","https://openalex.org/W4237453455"],"abstract_inverted_index":{"Moulin":[0],"[1980]":[1],"characterizes":[2],"the":[3,15,66,85,110,114],"single-facility,":[4],"deterministic":[5],"strategy-proof":[6,31,98],"mechanisms":[7,52,79,99],"for":[8,42,65,95],"social":[9,43,56],"choice":[10],"with":[11],"single-peaked":[12],"preferences":[13],"as":[14,102,104,113],"set":[16],"of":[17,29,68,87],"generalized":[18,70],"median":[19,71],"rules.":[20,119],"In":[21],"contrast,":[22],"we":[23,90],"have":[24],"only":[25],"a":[26,61,92],"limited":[27],"understanding":[28],"multi-facility":[30,51,69],"mechanisms,":[32],"and":[33,73,117],"recent":[34],"work":[35],"has":[36],"shown":[37],"negative":[38],"worst":[39],"case":[40],"results":[41],"cost.":[44,57],"Our":[45],"goal":[46],"is":[47],"to":[48,77],"design":[49],"strategy-proof,":[50],"that":[53,100],"minimize":[54],"expected":[55],"We":[58],"first":[59],"give":[60],"PAC":[62],"learnability":[63],"result":[64],"class":[67],"rules,":[72],"utilize":[74],"neural":[75],"networks":[76],"learn":[78],"from":[80,109],"this":[81],"class.":[82],"Even":[83],"in":[84],"absence":[86],"characterization":[88],"results,":[89],"develop":[91],"computational":[93],"procedure":[94],"learning":[96],"almost":[97],"are":[101],"good":[103],"or":[105],"better":[106],"than":[107],"benchmarks":[108],"literature,":[111],"such":[112],"best":[115],"percentile":[116],"dictatorial":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
