{"id":"https://openalex.org/W2067340154","doi":"https://doi.org/10.1145/1233501.1233686","title":"Robust estimation of parametric yield under limited descriptions of uncertainty","display_name":"Robust estimation of parametric yield under limited descriptions of uncertainty","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2067340154","doi":"https://doi.org/10.1145/1233501.1233686","mag":"2067340154"},"language":"en","primary_location":{"id":"doi:10.1145/1233501.1233686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1233501.1233686","pdf_url":null,"source":{"id":"https://openalex.org/S4210177401","display_name":"Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design","issn_l":"1092-3152","issn":["1092-3152","1558-2434"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design  - ICCAD '06","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/A5047838897","display_name":"Wei\u2010Shen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei-Shen Wang","raw_affiliation_strings":["The University of Texas at Austin","Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090899796","display_name":"Michael Orshansky","orcid":"https://orcid.org/0000-0002-6223-4748"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Orshansky","raw_affiliation_strings":["The University of Texas at Austin","Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047838897"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":2.7932,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91346968,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"884","last_page":"884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical 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/parametric-statistics","display_name":"Parametric statistics","score":0.8218984007835388},{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.6126192808151245},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5938087105751038},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5389261245727539},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5328006744384766},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.5087688565254211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48981305956840515},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.45029470324516296},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4129575788974762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.401853084564209},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37068110704421997},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3418564796447754},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14151179790496826}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.8218984007835388},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.6126192808151245},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5938087105751038},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5389261245727539},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5328006744384766},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.5087688565254211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48981305956840515},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.45029470324516296},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4129575788974762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.401853084564209},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37068110704421997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3418564796447754},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14151179790496826},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1233501.1233686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1233501.1233686","pdf_url":null,"source":{"id":"https://openalex.org/S4210177401","display_name":"Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design","issn_l":"1092-3152","issn":["1092-3152","1558-2434"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design  - ICCAD '06","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.101.3438","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.3438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cerc.utexas.edu/robust/publications/2006/11C_3.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.259.3935","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.3935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cecs.uci.edu/%7Epapers/iccad06/papers/11C_3.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310620","display_name":"University of Texas at Austin","ror":"https://ror.org/00hj54h04"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W132789959","https://openalex.org/W1535629359","https://openalex.org/W1579271636","https://openalex.org/W1844548710","https://openalex.org/W1974961081","https://openalex.org/W2028931607","https://openalex.org/W2035894108","https://openalex.org/W2043318181","https://openalex.org/W2064975723","https://openalex.org/W2098143668","https://openalex.org/W2118955652","https://openalex.org/W2121536510","https://openalex.org/W2125853937","https://openalex.org/W2128559064","https://openalex.org/W2132389735","https://openalex.org/W2152165066","https://openalex.org/W2162935501","https://openalex.org/W2168356039","https://openalex.org/W2168908441","https://openalex.org/W2488678869","https://openalex.org/W2751862591","https://openalex.org/W3172772885"],"related_works":["https://openalex.org/W1550559433","https://openalex.org/W2189235034","https://openalex.org/W2059841545","https://openalex.org/W2191239088","https://openalex.org/W2319948171","https://openalex.org/W4233457764","https://openalex.org/W2117734186","https://openalex.org/W2590689037","https://openalex.org/W2044237804","https://openalex.org/W2593688499"],"abstract_inverted_index":{"Reliable":[0],"prediction":[1],"of":[2,17,27,40,48,74,85,92,98,166],"parametric":[3,62,134],"yield":[4,19,63],"for":[5,60,122],"a":[6,11,57],"specific":[7],"design":[8],"is":[9,14,68,128],"difficult;":[10],"significant":[12],"reason":[13],"the":[15,18,23,28,65,71,83,86,89,99,132,141,146,153,164],"reliance":[16],"estimation":[20,80,143],"methods":[21,32],"on":[22,70,82],"hard-to-measure":[24],"distributional":[25],"properties":[26],"process":[29,41,106],"data.":[30],"Existing":[31],"are":[33],"inadequate":[34],"when":[35],"dealing":[36],"with":[37],"real-life":[38],"distributions":[39],"and":[42,45,88,96,107,116],"environmental":[43,108],"parameters,":[44],"limited":[46,90],"availability":[47],"parameter":[49,100],"data":[50],"during":[51],"early":[52],"design.":[53],"This":[54],"paper":[55],"proposes":[56],"robust":[58,76,114,142],"technique":[59],"full-chip":[61],"estimation;":[64],"proposed":[66,126],"work":[67],"based":[69,81],"rigorous":[72],"notions":[73],"non-parametric":[75],"statistics":[77],"which":[78],"permits":[79],"knowledge":[84],"range":[87],"number":[91],"moments":[93],"(e.g.":[94],"mean":[95],"variance)":[97],"distributions.":[101],"Fully":[102],"or":[103],"partially":[104],"specified":[105],"parameters":[109],"can":[110],"be":[111],"described":[112],"by":[113,150],"representations,":[115],"used":[117],"to":[118,130,161],"estimate":[119,149],"probabilistic":[120],"bounds":[121],"leakage":[123,148],"dissipation.":[124],"The":[125,136],"approach":[127],"applied":[129],"estimating":[131],"chip-level":[133],"yield.":[135],"experimental":[137],"results":[138],"show":[139],"that":[140],"algorithm":[144],"improves":[145],"total":[147],"5-13%":[151],"at":[152],"99th":[154],"percentile":[155],"across":[156],"distinct":[157],"frequency":[158],"bins,":[159],"compared":[160],"using":[162],"only":[163],"intervals":[165],"partially-specified":[167],"parameters.":[168]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}