{"id":"https://openalex.org/W4378895325","doi":"https://doi.org/10.1145/3558481.3591104","title":"Quadratic Speedups in Parallel Sampling from Determinantal Distributions","display_name":"Quadratic Speedups in Parallel Sampling from Determinantal Distributions","publication_year":2023,"publication_date":"2023-05-31","ids":{"openalex":"https://openalex.org/W4378895325","doi":"https://doi.org/10.1145/3558481.3591104"},"language":"en","primary_location":{"id":"doi:10.1145/3558481.3591104","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3558481.3591104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures","raw_type":"proceedings-article"},"type":"article","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/A5040375566","display_name":"Nima Anari","orcid":"https://orcid.org/0000-0002-4394-3530"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nima Anari","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102768053","display_name":"Callum Burgess","orcid":"https://orcid.org/0009-0008-3669-037X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Callum Burgess","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101553600","display_name":"Kevin Tian","orcid":"https://orcid.org/0000-0003-0109-9201"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Tian","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065933371","display_name":"Thuy-Duong Vuong","orcid":"https://orcid.org/0000-0003-0271-9687"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thuy-Duong Vuong","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040375566"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.6682,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70377682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"367","last_page":"377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9986000061035156,"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/T11830","display_name":"Point processes and geometric inequalities","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.5967519283294678},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5794320106506348},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5280188918113708},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5278266072273254},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4856795072555542},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.47335171699523926},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.47094619274139404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46770283579826355},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.45822960138320923},{"id":"https://openalex.org/keywords/partition-function","display_name":"Partition function (quantum field theory)","score":0.44563084840774536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38644230365753174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38281697034835815},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3088889420032501},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12576204538345337},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08004757761955261}],"concepts":[{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.5967519283294678},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5794320106506348},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5280188918113708},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5278266072273254},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4856795072555542},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.47335171699523926},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.47094619274139404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46770283579826355},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.45822960138320923},{"id":"https://openalex.org/C2778401447","wikidata":"https://www.wikidata.org/wiki/Q7140637","display_name":"Partition function (quantum field theory)","level":2,"score":0.44563084840774536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38644230365753174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38281697034835815},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3088889420032501},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12576204538345337},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08004757761955261},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3558481.3591104","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3558481.3591104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1171700966","display_name":null,"funder_award_id":"NSF CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2514421424","display_name":null,"funder_award_id":"Award","funder_id":"https://openalex.org/F4320308943","funder_display_name":"Microsoft Research"},{"id":"https://openalex.org/G2978537469","display_name":null,"funder_award_id":"Ph.D. Fellowship","funder_id":"https://openalex.org/F4320308943","funder_display_name":"Microsoft Research"},{"id":"https://openalex.org/G3631313543","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320308943","funder_display_name":"Microsoft Research"},{"id":"https://openalex.org/G5856469849","display_name":"CAREER: Discrete Convexity in Algorithm Design","funder_award_id":"2045354","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6894402473","display_name":null,"funder_award_id":"Fellowship","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"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1985234177","https://openalex.org/W2008095352","https://openalex.org/W2034186795","https://openalex.org/W2105114849","https://openalex.org/W2121663287","https://openalex.org/W2138779671","https://openalex.org/W2474151873","https://openalex.org/W2897429051","https://openalex.org/W2956537605","https://openalex.org/W2963722886","https://openalex.org/W3035156632","https://openalex.org/W3105058115","https://openalex.org/W3111242773","https://openalex.org/W3111890340","https://openalex.org/W3126279954","https://openalex.org/W3128288494","https://openalex.org/W3165988880","https://openalex.org/W4212774754","https://openalex.org/W4376639582"],"related_works":["https://openalex.org/W4285069850","https://openalex.org/W1974634278","https://openalex.org/W4240963716","https://openalex.org/W2891970004","https://openalex.org/W4301075503","https://openalex.org/W1596637634","https://openalex.org/W1996916724","https://openalex.org/W2046419983","https://openalex.org/W4294567731","https://openalex.org/W2808407214"],"abstract_inverted_index":{"We":[0,69],"study":[1],"the":[2,28,32,64,85,89,129],"problem":[3],"of":[4,95,98,133],"parallelizing":[5],"sampling":[6,79],"from":[7],"distributions":[8],"related":[9],"to":[10,57,105,145,152],"determinants:":[11],"symmetric,":[12],"nonsymmetric,":[13],"and":[14,138,148],"partition-constrained":[15],"determinantal":[16,135],"point":[17,136],"processes,":[18],"as":[19,21,60],"well":[20],"planar":[22,139],"perfect":[23,140],"matchings.":[24],"For":[25],"these":[26,156],"distributions,":[27],"partition":[29],"function,":[30],"a.k.a.":[31],"count,":[33],"can":[34,80],"be":[35,81],"obtained":[36],"via":[37],"matrix":[38],"determinants,":[39],"a":[40,72,99,108],"highly":[41],"parallelizable":[42],"computation;":[43],"Csanky":[44],"proved":[45],"it":[46],"is":[47,91],"in":[48,110,155],"NC.":[49],"However,":[50],"parallel":[51,58,75],"counting":[52],"does":[53],"not":[54],"automatically":[55],"translate":[56],"sampling,":[59],"classic":[61],"reductions":[62],"between":[63],"two":[65,130],"are":[66],"inherently":[67],"sequential.":[68],"show":[70,103,150],"that":[71],"nearly":[73],"quadratic":[74],"speedup":[76],"over":[77,113],"sequential":[78],"achieved":[82],"for":[83,122],"all":[84],"aforementioned":[86],"distributions.":[87],"If":[88],"distribution":[90],"supported":[92],"on":[93],"subsets":[94],"size":[96],"k":[97],"ground":[100],"set,":[101],"we":[102,149],"how":[104,151],"approximately":[106],"produce":[107],"sample":[109,153],"\u00d5":[111],"(k1":[112],"2":[114],"+":[115],"c)":[116],"time":[117],"with":[118],"polynomially":[119],"many":[120],"processors":[121],"any":[123],"constant":[124],"c":[125],">":[126],"0.":[127],"In":[128],"special":[131],"cases":[132],"symmetric":[134],"processes":[137],"matchings,":[141],"our":[142],"bound":[143],"improves":[144],"\u00d5(\u221a":[146],"k)":[147],"exactly":[154],"cases.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}