{"id":"https://openalex.org/W4376639623","doi":"https://doi.org/10.1145/3564246.3585194","title":"Privately Estimating a Gaussian: Efficient, Robust, and Optimal","display_name":"Privately Estimating a Gaussian: Efficient, Robust, and Optimal","publication_year":2023,"publication_date":"2023-05-16","ids":{"openalex":"https://openalex.org/W4376639623","doi":"https://doi.org/10.1145/3564246.3585194"},"language":"en","primary_location":{"id":"doi:10.1145/3564246.3585194","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3564246.3585194","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3564246.3585194","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th Annual ACM 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/10.1145/3564246.3585194","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043962944","display_name":"Daniel Alabi","orcid":"https://orcid.org/0000-0002-1613-6565"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Alabi","raw_affiliation_strings":["Columbia University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068103506","display_name":"Pravesh K. Kothari","orcid":"https://orcid.org/0000-0002-8689-6770"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pravesh K. Kothari","raw_affiliation_strings":["Carnegie Mellon University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084760979","display_name":"Pranay Tankala","orcid":"https://orcid.org/0000-0002-4424-0853"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pranay Tankala","raw_affiliation_strings":["Harvard University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075103678","display_name":"Prayaag Venkat","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prayaag Venkat","raw_affiliation_strings":["Harvard University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103077529","display_name":"Fred Zhang","orcid":"https://orcid.org/0000-0001-7256-9843"},"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":false,"raw_author_name":"Fred Zhang","raw_affiliation_strings":["University of California at Berkeley, Berkeley, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at Berkeley, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043962944"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":1.3594,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.843078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"483","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9979000091552734,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/gaussian","display_name":"Gaussian","score":0.7248392701148987},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6568366885185242},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6437361836433411},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"Sample complexity","score":0.5914987921714783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.556456983089447},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.539936900138855},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5235171914100647},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5145851969718933},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.458382785320282},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.43004241585731506},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.42386412620544434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3697459101676941},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3631379306316376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3588986098766327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22609588503837585},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09561407566070557},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08866620063781738},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0757477879524231},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07560566067695618}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.7248392701148987},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6568366885185242},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6437361836433411},{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.5914987921714783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.556456983089447},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.539936900138855},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5235171914100647},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5145851969718933},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.458382785320282},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.43004241585731506},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.42386412620544434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3697459101676941},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3631379306316376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3588986098766327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22609588503837585},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09561407566070557},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08866620063781738},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0757477879524231},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07560566067695618},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3564246.3585194","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3564246.3585194","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3564246.3585194","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th Annual ACM Symposium on Theory of Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3564246.3585194","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3564246.3585194","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3564246.3585194","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th Annual ACM Symposium on Theory of Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320306164","display_name":"Simons Foundation","ror":"https://ror.org/01cmst727"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376639623.pdf","grobid_xml":"https://content.openalex.org/works/W4376639623.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W152055444","https://openalex.org/W398859631","https://openalex.org/W1806104592","https://openalex.org/W2012873258","https://openalex.org/W2013823004","https://openalex.org/W2021426916","https://openalex.org/W2032291279","https://openalex.org/W2046033161","https://openalex.org/W2118807841","https://openalex.org/W2123820077","https://openalex.org/W2130099852","https://openalex.org/W2133404041","https://openalex.org/W2134195444","https://openalex.org/W2141902405","https://openalex.org/W2167372639","https://openalex.org/W2245160765","https://openalex.org/W2489268653","https://openalex.org/W2518143623","https://openalex.org/W2605062226","https://openalex.org/W2808754399","https://openalex.org/W2942689850","https://openalex.org/W2950343740","https://openalex.org/W2953192012","https://openalex.org/W2962856918","https://openalex.org/W2963351358","https://openalex.org/W2963699739","https://openalex.org/W2996640527","https://openalex.org/W3088300790","https://openalex.org/W3102159535","https://openalex.org/W3119742123","https://openalex.org/W3127518054","https://openalex.org/W3216112659","https://openalex.org/W4211030719","https://openalex.org/W4311252627","https://openalex.org/W4376651434"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2970364557","https://openalex.org/W2900759811","https://openalex.org/W4301382396","https://openalex.org/W2949611647","https://openalex.org/W2991148830","https://openalex.org/W1964286703","https://openalex.org/W4288021824","https://openalex.org/W2169866437","https://openalex.org/W2963045114"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"give":[4],"efficient":[5],"algorithms":[6],"for":[7],"privately":[8],"estimating":[9],"a":[10],"Gaussian":[11],"distribution":[12],"in":[13,28],"both":[14],"pure":[15],"and":[16],"approximate":[17],"differential":[18],"privacy":[19],"(DP)":[20],"models":[21],"with":[22],"optimal":[23],"dependence":[24],"on":[25],"the":[26,29],"dimension":[27],"sample":[30],"complexity.":[31]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
