{"id":"https://openalex.org/W3007539016","doi":"https://doi.org/10.1017/s0963548321000547","title":"Tuning as convex optimisation: a polynomial tuner for multi-parametric combinatorial samplers","display_name":"Tuning as convex optimisation: a polynomial tuner for multi-parametric combinatorial samplers","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W3007539016","doi":"https://doi.org/10.1017/s0963548321000547","mag":"3007539016"},"language":"en","primary_location":{"id":"doi:10.1017/s0963548321000547","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0963548321000547","pdf_url":null,"source":{"id":"https://openalex.org/S7291079","display_name":"Combinatorics Probability Computing","issn_l":"0963-5483","issn":["0963-5483","1469-2163"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Combinatorics, Probability and Computing","raw_type":"journal-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/A5036540043","display_name":"Maciej Bendkowski","orcid":null},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Bendkowski","raw_affiliation_strings":["Theoretical Computer Science Department, Faculty of Mathematics and Computer Science, Jagiellonian University, \u0141ojasiewicza 6, 30-348 Krak\u00f3w, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Theoretical Computer Science Department, Faculty of Mathematics and Computer Science, Jagiellonian University, \u0141ojasiewicza 6, 30-348 Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I126596746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021750107","display_name":"Olivier Bodini","orcid":"https://orcid.org/0000-0002-1867-667X"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Bodini","raw_affiliation_strings":["Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430 Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430 Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112507920","display_name":"Sergey Dovgal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sergey Dovgal","raw_affiliation_strings":["Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430 Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430 Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112507920"],"corresponding_institution_ids":["https://openalex.org/I4210091279"],"apc_list":null,"apc_paid":null,"fwci":0.273,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59376886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":"5","first_page":"765","last_page":"811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9993000030517578,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9993000030517578,"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/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9980000257492065,"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/combinatorial-explosion","display_name":"Combinatorial explosion","score":0.5735654830932617},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.47714874148368835},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.47190767526626587},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.46897968649864197},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4672873616218567},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44861215353012085},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4476901888847351},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43134206533432007},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42817315459251404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4152871370315552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3881552219390869},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35751932859420776},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3177015781402588}],"concepts":[{"id":"https://openalex.org/C115908005","wikidata":"https://www.wikidata.org/wiki/Q2668364","display_name":"Combinatorial explosion","level":2,"score":0.5735654830932617},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.47714874148368835},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.47190767526626587},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.46897968649864197},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4672873616218567},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44861215353012085},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4476901888847351},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43134206533432007},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42817315459251404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4152871370315552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3881552219390869},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35751932859420776},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3177015781402588},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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:10.1017/s0963548321000547","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0963548321000547","pdf_url":null,"source":{"id":"https://openalex.org/S7291079","display_name":"Combinatorics Probability Computing","issn_l":"0963-5483","issn":["0963-5483","1469-2163"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Combinatorics, Probability and Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W100226316","https://openalex.org/W186403072","https://openalex.org/W300201706","https://openalex.org/W1492106089","https://openalex.org/W1495016581","https://openalex.org/W1511255594","https://openalex.org/W1528326162","https://openalex.org/W1580809203","https://openalex.org/W1611541577","https://openalex.org/W1632601927","https://openalex.org/W1964006942","https://openalex.org/W1976525723","https://openalex.org/W1981803420","https://openalex.org/W1982202832","https://openalex.org/W2001959333","https://openalex.org/W2018547553","https://openalex.org/W2021517807","https://openalex.org/W2024317745","https://openalex.org/W2026252457","https://openalex.org/W2029976661","https://openalex.org/W2031794121","https://openalex.org/W2033900415","https://openalex.org/W2035380993","https://openalex.org/W2043046702","https://openalex.org/W2044413922","https://openalex.org/W2071563913","https://openalex.org/W2074083221","https://openalex.org/W2075220720","https://openalex.org/W2076680677","https://openalex.org/W2077836627","https://openalex.org/W2085448729","https://openalex.org/W2088927502","https://openalex.org/W2095644835","https://openalex.org/W2098195816","https://openalex.org/W2109321618","https://openalex.org/W2117038349","https://openalex.org/W2117869369","https://openalex.org/W2119717320","https://openalex.org/W2125126351","https://openalex.org/W2129516068","https://openalex.org/W2158395308","https://openalex.org/W2178935672","https://openalex.org/W2260987254","https://openalex.org/W2280812408","https://openalex.org/W2285394731","https://openalex.org/W2288174618","https://openalex.org/W2319000796","https://openalex.org/W2340541605","https://openalex.org/W2396983327","https://openalex.org/W2405219839","https://openalex.org/W2415757641","https://openalex.org/W2485068956","https://openalex.org/W2510002439","https://openalex.org/W2568721247","https://openalex.org/W2577866792","https://openalex.org/W2767544505","https://openalex.org/W2802574492","https://openalex.org/W2963400476","https://openalex.org/W2963427899","https://openalex.org/W2963578516","https://openalex.org/W2963632202","https://openalex.org/W2963718773","https://openalex.org/W2963798792","https://openalex.org/W2963990188","https://openalex.org/W3001619498","https://openalex.org/W3012765374","https://openalex.org/W3099047857","https://openalex.org/W3105521801","https://openalex.org/W3111890340","https://openalex.org/W4238222729","https://openalex.org/W4244488020"],"related_works":["https://openalex.org/W2597689725","https://openalex.org/W2102619167","https://openalex.org/W3110096993","https://openalex.org/W4320473438","https://openalex.org/W2176286959","https://openalex.org/W4308081912","https://openalex.org/W2771856913","https://openalex.org/W2795889148","https://openalex.org/W2617471417","https://openalex.org/W1481170399"],"abstract_inverted_index":{"Abstract":[0],"Combinatorial":[1],"samplers":[2],"are":[3],"algorithmic":[4],"schemes":[5],"devised":[6],"for":[7,41,57,101],"the":[8,47,59,70,112,116,121,127,130,133,139],"approximate-":[9],"and":[10,86,129,153,179,201],"exact-size":[11],"generation":[12],"of":[13,50,61,64,72,92,118,123,132,141,147,169,196],"large":[14],"random":[15],"combinatorial":[16,35,52,103,124,172],"structures,":[17,25],"such":[18,79],"as":[19],"context-free":[20],"words,":[21],"various":[22],"tree-like":[23],"data":[24],"maps,":[26],"tilings,":[27],"RNA":[28],"molecules.":[29],"They":[30],"can":[31,55,162],"be":[32,163],"adapted":[33,164],"to":[34,165],"specifications":[36],"with":[37,181],"additional":[38,85],"parameters,":[39,120],"allowing":[40],"a":[42,80,145,166],"more":[43],"flexible":[44,81],"control":[45,82],"over":[46],"output":[48],"profile":[49,63],"parametrised":[51],"patterns.":[53],"One":[54],"control,":[56],"instance,":[58],"number":[60,71,117,122],"leaves,":[62],"node":[65],"degrees":[66],"in":[67,75,108,111,126],"trees":[68,187],"or":[69,188],"certain":[73],"sub-patterns":[74],"generated":[76],"strings.":[77],"However,":[78],"requires":[83],"an":[84,97],"nontrivial":[87],"tuning":[88,99,119],"procedure.":[89],"Using":[90],"techniques":[91],"convex":[93],"optimisation,":[94],"we":[95,191],"present":[96],"efficient":[98],"algorithm":[100,106],"multi-parametric":[102],"specifications.":[104,156],"Our":[105],"works":[107],"polynomial":[109],"time":[110],"system":[113],"description":[114],"length,":[115],"classes":[125],"specification,":[128],"logarithm":[131],"total":[134],"target":[135],"size.":[136],"We":[137,157],"demonstrate":[138],"effectiveness":[140],"our":[142,160,197],"method":[143,161],"on":[144],"series":[146],"practical":[148,194],"examples,":[149],"including":[150,174],"rational,":[151],"algebraic,":[152],"so-called":[154],"P\u00f3lya":[155],"show":[158],"how":[159],"broad":[167],"range":[168],"less":[170],"typical":[171],"constructions,":[173],"symmetric":[175],"polynomials,":[176],"labelled":[177],"sets":[178],"cycles":[180],"cardinality":[182],"lower":[183],"bounds,":[184],"simple":[185],"increasing":[186],"substitutions.":[189],"Finally,":[190],"discuss":[192],"some":[193],"aspects":[195],"prototype":[198],"tuner":[199],"implementation":[200],"provide":[202],"its":[203],"benchmark":[204],"results.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}