{"id":"https://openalex.org/W2964296660","doi":"https://doi.org/10.1145/3313276.3316377","title":"Private selection from private candidates","display_name":"Private selection from private candidates","publication_year":2019,"publication_date":"2019-06-20","ids":{"openalex":"https://openalex.org/W2964296660","doi":"https://doi.org/10.1145/3313276.3316377","mag":"2964296660"},"language":"en","primary_location":{"id":"doi:10.1145/3313276.3316377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3313276.3316377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3313276.3316377","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3313276.3316377","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101808723","display_name":"Jingcheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingcheng Liu","raw_affiliation_strings":["University of California at Berkeley, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080065269","display_name":"Kunal Talwar","orcid":null},"institutions":[{"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":"Kunal Talwar","raw_affiliation_strings":["Google Brain, USA"],"affiliations":[{"raw_affiliation_string":"Google Brain, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101808723"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":5.6358,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.9670792,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"298","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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/T11182","display_name":"Auction Theory and Applications","score":0.9671000242233276,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9315000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6539755463600159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5601764917373657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34227198362350464}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6539755463600159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5601764917373657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34227198362350464}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3313276.3316377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3313276.3316377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3313276.3316377","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3313276.3316377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3313276.3316377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3313276.3316377","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2119435884","display_name":null,"funder_award_id":"CCF-1815328","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G961744408","display_name":"AF: Small: Approximate Counting, Stochastic Local Search and Nonlinear Dynamics","funder_award_id":"1815328","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/W2964296660.pdf","grobid_xml":"https://content.openalex.org/works/W2964296660.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W92292672","https://openalex.org/W136004222","https://openalex.org/W1873763122","https://openalex.org/W1982723861","https://openalex.org/W1993116423","https://openalex.org/W2027595342","https://openalex.org/W2031415694","https://openalex.org/W2097272254","https://openalex.org/W2101771965","https://openalex.org/W2104743167","https://openalex.org/W2124612670","https://openalex.org/W2127555295","https://openalex.org/W2138865266","https://openalex.org/W2144124155","https://openalex.org/W2154711640","https://openalex.org/W2160955670","https://openalex.org/W2164778205","https://openalex.org/W2171200367","https://openalex.org/W2225981128","https://openalex.org/W2266261423","https://openalex.org/W2298449073","https://openalex.org/W2322006099","https://openalex.org/W2401095126","https://openalex.org/W2462688741","https://openalex.org/W2473418344","https://openalex.org/W2487468973","https://openalex.org/W2562050153","https://openalex.org/W2566032744","https://openalex.org/W2604272474","https://openalex.org/W2607662938","https://openalex.org/W2612690371","https://openalex.org/W2613872436","https://openalex.org/W2619351572","https://openalex.org/W2752331852","https://openalex.org/W2805580603","https://openalex.org/W2912500072","https://openalex.org/W2914238450","https://openalex.org/W2949274245","https://openalex.org/W2953314980","https://openalex.org/W2963777593","https://openalex.org/W4205228770","https://openalex.org/W4302338090","https://openalex.org/W4403868128","https://openalex.org/W6632160336","https://openalex.org/W7074197310"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Differentially":[0],"Private":[1],"algorithms":[2,84],"often":[3],"need":[4],"to":[5],"select":[6],"the":[7,21,59,69,73,89],"best":[8],"amongst":[9],"many":[10,41],"candidate":[11],"options.":[12],"Classical":[13],"works":[14],"on":[15,68],"this":[16,47,55,80],"selection":[17,60],"problem":[18,61],"require":[19],"that":[20,72,85],"candidates\u2019":[22],"goodness,":[23],"measured":[24],"as":[25,44],"a":[26,63],"real-valued":[27],"score":[28,74],"function,":[29],"does":[30],"not":[31],"change":[32],"by":[33],"much":[34,51,64],"when":[35],"one":[36],"person\u2019s":[37],"data":[38],"changes.":[39],"In":[40,54],"applications":[42],"such":[43],"hyperparameter":[45],"optimization,":[46],"stability":[48,66],"assumption":[49,67],"is":[50],"too":[52],"strong.":[53],"work,":[56],"we":[57,82],"consider":[58],"under":[62],"weaker":[65],"candidates,":[70],"namely":[71],"functions":[75],"are":[76,86],"differentially":[77],"private.":[78],"Under":[79],"assumption,":[81],"present":[83],"near-optimal":[87],"along":[88],"three":[90],"relevant":[91],"dimensions:":[92],"privacy,":[93],"utility":[94],"and":[95],"computational":[96],"efficiency.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
