{"id":"https://openalex.org/W3089924357","doi":"https://doi.org/10.3233/faia200393","title":"Towards Efficient Discrete Integration via Adaptive Quantile Queries","display_name":"Towards Efficient Discrete Integration via Adaptive Quantile Queries","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3089924357","doi":"https://doi.org/10.3233/faia200393","mag":"3089924357"},"language":"en","primary_location":{"id":"doi:10.3233/faia200393","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200393","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia200393","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109303462","display_name":"Ding Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding Fan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069437808","display_name":"Hanjing Wang","orcid":"https://orcid.org/0000-0001-9597-6054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Hanjing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sabharwal Ashish","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sabharwal Ashish","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060838579","display_name":"Yexiang Xue","orcid":"https://orcid.org/0000-0002-4533-0543"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue Yexiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16669215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.996999979019165,"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":0.996999979019165,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9927999973297119,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9818999767303467,"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/oracle","display_name":"Oracle","score":0.6558501720428467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5568375587463379},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.48920559883117676},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4816528856754303},{"id":"https://openalex.org/keywords/wish","display_name":"Wish","score":0.48104384541511536},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47467899322509766},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.4592772126197815},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3766461908817291},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36178678274154663},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34224751591682434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32866138219833374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12073466181755066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08726975321769714}],"concepts":[{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.6558501720428467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5568375587463379},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.48920559883117676},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4816528856754303},{"id":"https://openalex.org/C2781298115","wikidata":"https://www.wikidata.org/wiki/Q241625","display_name":"Wish","level":2,"score":0.48104384541511536},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47467899322509766},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.4592772126197815},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3766461908817291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36178678274154663},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34224751591682434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32866138219833374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12073466181755066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08726975321769714},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia200393","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200393","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia200393","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200393","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W2009944257"],"abstract_inverted_index":{"Discrete":[0],"integration":[1,20,136],"in":[2],"a":[3,31,60,78,111,153,176],"high":[4],"dimensional":[5],"space":[6],"of":[7,44,63,65,72,95,98,113,138,144,155,169,178,186,193],"n":[8,23],"variables":[9],"poses":[10],"fundamental":[11],"challenges.":[12],"The":[13,35,86],"WISH":[14,145,187],"algorithm":[15],"reduces":[16],"the":[17,42,54,70,96,99,139,160,167,191],"intractable":[18],"discrete":[19,135],"problem":[21],"into":[22],"optimization":[24,36,170],"queries":[25,37,64,124,171,188],"subject":[26],"to":[27,52,90,118,173],"randomized":[28],"constraints,":[29],"obtaining":[30],"constant":[32],"approximation":[33],"guarantee.":[34],"are":[38],"expensive,":[39],"which":[40,49],"limits":[41],"applicability":[43],"WISH.":[45,66,174],"We":[46],"propose":[47],"AdaWISH,":[48],"is":[50,75,89],"able":[51],"obtain":[53],"same":[55,140,161],"guarantee":[56],"but":[57],"accesses":[58],"only":[59,82,114],"small":[61],"subset":[62],"For":[67],"example,":[68],"when":[69],"number":[71,168],"function":[73,101],"values":[74],"bounded":[76],"by":[77],"constant,":[79],"AdaWISH":[80,109,130],"issues":[81,123],"O(log":[83,115],"n)":[84,116],"queries.":[85],"key":[87],"idea":[88],"query":[91],"adaptively,":[92],"taking":[93],"advantage":[94],"shape":[97],"weight":[100],"being":[102],"integrated.":[103],"In":[104],"general,":[105],"we":[106],"prove":[107],"that":[108,122,143],"has":[110],"regret":[112],"relative":[117],"an":[119],"idealistic":[120],"oracle":[121],"at":[125],"data-dependent":[126],"optimal":[127],"points.":[128],"Experimentally,":[129],"gives":[131],"precise":[132],"estimates":[133],"for":[134],"problems,":[137],"quality":[141,192],"as":[142],"and":[146],"better":[147],"than":[148],"several":[149],"competing":[150],"approaches,":[151],"on":[152,166],"variety":[154],"probabilistic":[156],"inference":[157,180],"benchmarks.":[158],"At":[159],"time,":[162],"it":[163,183],"saves":[164,184],"substantially":[165],"compared":[172],"On":[175],"suite":[177],"UAI":[179],"challenge":[181],"benchmarks,":[182],"81.5%":[185],"while":[189],"retaining":[190],"results.":[194]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
