{"id":"https://openalex.org/W2783351891","doi":"https://doi.org/10.1109/allerton.2017.8262783","title":"Bayesian function optimization with adaptive discretization","display_name":"Bayesian function optimization with adaptive discretization","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2783351891","doi":"https://doi.org/10.1109/allerton.2017.8262783","mag":"2783351891"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2017.8262783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2017.8262783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","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/A5061321764","display_name":"Shubhanshu Shekhar","orcid":"https://orcid.org/0000-0002-9439-1078"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shubhanshu Shekhar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059310658","display_name":"Tara Javidi","orcid":"https://orcid.org/0000-0001-7112-1043"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tara Javidi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061321764"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19353143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"533","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9998000264167786,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9998000264167786,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9993000030517578,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8859771490097046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5925606489181519},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5695393681526184},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5349783897399902},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5219089984893799},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5115188360214233},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5042833089828491},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.48642635345458984},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4820890724658966},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47315964102745056},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.44391846656799316},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.43414077162742615},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43294936418533325},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3911701738834381},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34662121534347534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23444828391075134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18457382917404175}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8859771490097046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5925606489181519},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5695393681526184},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5349783897399902},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5219089984893799},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5115188360214233},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5042833089828491},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.48642635345458984},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4820890724658966},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47315964102745056},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.44391846656799316},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.43414077162742615},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43294936418533325},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3911701738834381},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34662121534347534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23444828391075134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18457382917404175},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton.2017.8262783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2017.8262783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W57706852","https://openalex.org/W824892955","https://openalex.org/W1675620121","https://openalex.org/W1693986406","https://openalex.org/W1746819321","https://openalex.org/W2073107347","https://openalex.org/W2096678000","https://openalex.org/W2100438617","https://openalex.org/W2111241577","https://openalex.org/W2117561707","https://openalex.org/W2120090487","https://openalex.org/W2149721706","https://openalex.org/W2166566250","https://openalex.org/W2192203593","https://openalex.org/W2257317309","https://openalex.org/W2279819543","https://openalex.org/W2616619952","https://openalex.org/W2962834735","https://openalex.org/W2963866308","https://openalex.org/W2964096186","https://openalex.org/W2964172739","https://openalex.org/W3215278090","https://openalex.org/W4211049957","https://openalex.org/W4299577622","https://openalex.org/W6602312368","https://openalex.org/W6637134053","https://openalex.org/W6637591494","https://openalex.org/W6674603744","https://openalex.org/W6675083971","https://openalex.org/W6676817345","https://openalex.org/W6677764299","https://openalex.org/W6678102440","https://openalex.org/W6681821898"],"related_works":["https://openalex.org/W4376155396","https://openalex.org/W2971351794","https://openalex.org/W1947085858","https://openalex.org/W2101991911","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"In":[0,27,92],"this":[1,33],"paper,":[2],"the":[3,18,95,104,108,113,120,123,135],"problem":[4,34],"of":[5,67,70,107,119,125],"maximizing":[6],"a":[7,22,29,83],"blackbox":[8],"function":[9],"f":[10],":":[11],"X":[12,79],"\u2192":[13],"R":[14],"is":[15,35,128],"studied":[16],"in":[17,54,75],"Bayesian":[19],"framework":[20],"with":[21],"Gaussian":[23],"Process":[24],"(GP)":[25],"prior.":[26],"particular,":[28],"new":[30,109],"algorithm":[31,110,121],"for":[32,88],"proposed,":[36,129],"and":[37,44,130],"high":[38,89,131],"probability":[39,132],"bounds":[40,106,133],"on":[41,134],"its":[42],"simple":[43],"cumulative":[45],"regret":[46,105,137],"are":[47,100,138],"established.":[48],"The":[49,72],"query":[50],"point":[51],"selection":[52],"rule":[53],"most":[55],"existing":[56],"methods":[57],"involves":[58],"an":[59,63,117],"exhaustive":[60],"search":[61],"over":[62],"increasingly":[64],"fine":[65],"sequence":[66],"uniform":[68],"discretizations":[69],"X.":[71,91],"proposed":[73],"algorithm,":[74],"contrast,":[76],"adaptively":[77],"refines":[78],"which":[80,103],"leads":[81],"to":[82,94,122],"lower":[84],"computational":[85,96],"complexity,":[86],"particularly":[87],"dimensional":[90],"addition":[93],"gains,":[97],"sufficient":[98],"conditions":[99],"identified":[101],"under":[102],"improve":[111],"upon":[112],"known":[114],"results.":[115],"Finally":[116],"extension":[118],"case":[124],"contextual":[126,136],"bandits":[127],"presented.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}