{"id":"https://openalex.org/W2987413216","doi":"https://doi.org/10.1137/1.9781611976465.21","title":"Random Restrictions of High Dimensional Distributions and Uniformity Testing with Subcube Conditioning","display_name":"Random Restrictions of High Dimensional Distributions and Uniformity Testing with Subcube Conditioning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W2987413216","doi":"https://doi.org/10.1137/1.9781611976465.21","mag":"2987413216"},"language":"en","primary_location":{"id":"doi:10.1137/1.9781611976465.21","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611976465.21","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA)","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071869723","display_name":"Cl\u00e9ment L. Canonne","orcid":"https://orcid.org/0000-0001-7153-5211"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cl\u00e9ment L. Canonne","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330050","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0003-4221-4288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047778197","display_name":"Gautam Kamath","orcid":"https://orcid.org/0000-0003-0048-2559"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gautam Kamath","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049478018","display_name":"Amit Levi","orcid":"https://orcid.org/0000-0002-8530-5182"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amit Levi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091677337","display_name":"Erik Waingarten","orcid":"https://orcid.org/0000-0003-0097-7981"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erik Waingarten","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071869723"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4081,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89800754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9991999864578247,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9991999864578247,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9955999851226807,"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/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.4820705056190491},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.45753008127212524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45749175548553467},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45324790477752686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4426212012767792},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.43054714798927307},{"id":"https://openalex.org/keywords/multivariate-random-variable","display_name":"Multivariate random variable","score":0.414334774017334},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3873465061187744},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3867110013961792},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.361625611782074},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.31334197521209717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2009613811969757}],"concepts":[{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.4820705056190491},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.45753008127212524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45749175548553467},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45324790477752686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4426212012767792},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.43054714798927307},{"id":"https://openalex.org/C138405894","wikidata":"https://www.wikidata.org/wiki/Q3179949","display_name":"Multivariate random variable","level":3,"score":0.414334774017334},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3873465061187744},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3867110013961792},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.361625611782074},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.31334197521209717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2009613811969757},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/1.9781611976465.21","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611976465.21","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA)","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W4516790","https://openalex.org/W1501167079","https://openalex.org/W1557882449","https://openalex.org/W1575031463","https://openalex.org/W1677000716","https://openalex.org/W2002001845","https://openalex.org/W2047213100","https://openalex.org/W2063966194","https://openalex.org/W2076381458","https://openalex.org/W2078764670","https://openalex.org/W2100158662","https://openalex.org/W2102942501","https://openalex.org/W2104648144","https://openalex.org/W2112274965","https://openalex.org/W2129311580","https://openalex.org/W2134169350","https://openalex.org/W2138256420","https://openalex.org/W2156516121","https://openalex.org/W2169956976","https://openalex.org/W2187447858","https://openalex.org/W2293992861","https://openalex.org/W2396049940","https://openalex.org/W2407691716","https://openalex.org/W2419768696","https://openalex.org/W2460522191","https://openalex.org/W2512431002","https://openalex.org/W2586539284","https://openalex.org/W2592411267","https://openalex.org/W2751154306","https://openalex.org/W2769478807","https://openalex.org/W2798303859","https://openalex.org/W2808621141","https://openalex.org/W2883374993","https://openalex.org/W2904542722","https://openalex.org/W2947735451","https://openalex.org/W2962841567","https://openalex.org/W2963041981","https://openalex.org/W2963086649","https://openalex.org/W2963245826","https://openalex.org/W2963315002","https://openalex.org/W2963424608","https://openalex.org/W2963477575","https://openalex.org/W2963478756","https://openalex.org/W2963553954","https://openalex.org/W2963597818","https://openalex.org/W2963661175","https://openalex.org/W2963739252","https://openalex.org/W2963802772","https://openalex.org/W2963920131","https://openalex.org/W2964108392","https://openalex.org/W2964208417","https://openalex.org/W2964252729","https://openalex.org/W2964626864","https://openalex.org/W3009206948","https://openalex.org/W3019554865","https://openalex.org/W3104465848"],"related_works":["https://openalex.org/W2037535750","https://openalex.org/W170825502","https://openalex.org/W2052718200","https://openalex.org/W1498343739","https://openalex.org/W2538141928","https://openalex.org/W3195391652","https://openalex.org/W3022473826","https://openalex.org/W4238695833","https://openalex.org/W2365690901","https://openalex.org/W4236621564"],"abstract_inverted_index":{"We":[0],"give":[1],"a":[2,19,33,45,51,75],"nearly-optimal":[3,76],"algorithm":[4],"for":[5,39],"testing":[6,69],"uniformity":[7],"of":[8,36,48,57,67],"distributions":[9,40],"supported":[10],"on":[11,41],"{\u20131,":[12,42],"1}n,":[13,43],"which":[14],"makes":[15],"many":[16],"queries":[17],"to":[18],"subcube":[20],"conditional":[21],"sampling":[22],"oracle":[23],"(Bhattacharyya":[24],"and":[25,44,73],"Chakraborty":[26],"(2018)).":[27],"The":[28],"key":[29],"technical":[30],"component":[31],"is":[32],"natural":[34],"notion":[35],"random":[37],"restrictions":[38],"quantitative":[46],"analysis":[47],"how":[49],"such":[50],"restriction":[52],"affects":[53],"the":[54,58,61,65],"mean":[55,68],"vector":[56],"distribution.":[59],"Along":[60],"way,":[62],"we":[63],"consider":[64],"problem":[66],"with":[70],"independent":[71],"samples":[72],"provide":[74],"algorithm.":[77]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
