{"id":"https://openalex.org/W4412071312","doi":"https://doi.org/10.1287/ijoc.2022.0098","title":"PIE\u2014Partially Interpretable Estimators with Refinement","display_name":"PIE\u2014Partially Interpretable Estimators with Refinement","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4412071312","doi":"https://doi.org/10.1287/ijoc.2022.0098"},"language":"en","primary_location":{"id":"doi:10.1287/ijoc.2022.0098","is_oa":false,"landing_page_url":"https://doi.org/10.1287/ijoc.2022.0098","pdf_url":null,"source":{"id":"https://openalex.org/S165318533","display_name":"INFORMS journal on computing","issn_l":"0899-1499","issn":["0899-1499","1091-9856","1526-5528","2326-3245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INFORMS Journal on 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/A5100450972","display_name":"Tong Wang","orcid":"https://orcid.org/0000-0001-8687-4208"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Wang","raw_affiliation_strings":["Yale School of Management, Yale University, New Haven, Connecticut 06511"],"raw_orcid":"https://orcid.org/0000-0001-8687-4208","affiliations":[{"raw_affiliation_string":"Yale School of Management, Yale University, New Haven, Connecticut 06511","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114226609","display_name":"Jingyi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127401","display_name":"Tisch Hospital","ror":"https://ror.org/02gkddr41","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210086933","https://openalex.org/I4210127401"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyi Yang","raw_affiliation_strings":["Leonard N. Stern School of Business, Tisch Hall, New York University, New York, New York 10012"],"raw_orcid":"https://orcid.org/0009-0001-7809-3097","affiliations":[{"raw_affiliation_string":"Leonard N. Stern School of Business, Tisch Hall, New York University, New York, New York 10012","institution_ids":["https://openalex.org/I4210127401","https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011701188","display_name":"Y. G. Li","orcid":"https://orcid.org/0009-0009-8522-7207"},"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":"Yunyi Li","raw_affiliation_strings":["McCombs School of Business, The University of Texas at Austin, Austin, Texas 78705;"],"raw_orcid":"https://orcid.org/0009-0009-8522-7207","affiliations":[{"raw_affiliation_string":"McCombs School of Business, The University of Texas at Austin, Austin, Texas 78705;","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101725165","display_name":"Boxiang Wang","orcid":"https://orcid.org/0000-0002-4187-552X"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boxiang Wang","raw_affiliation_strings":["Department of Statistics and Actuarial Science, The University of Iowa, Iowa City, Iowa 52242"],"raw_orcid":"https://orcid.org/0000-0002-4187-552X","affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, The University of Iowa, Iowa City, Iowa 52242","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.1608479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"3","first_page":"766","last_page":"782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10136","display_name":"Statistical Methods and Inference","score":0.9907000064849854,"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/T10320","display_name":"Neural Networks and Applications","score":0.9891999959945679,"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/estimator","display_name":"Estimator","score":0.6178853511810303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48150429129600525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4024868309497833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32525575160980225},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3052542209625244}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6178853511810303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48150429129600525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4024868309497833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32525575160980225},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3052542209625244}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1287/ijoc.2022.0098","is_oa":false,"landing_page_url":"https://doi.org/10.1287/ijoc.2022.0098","pdf_url":null,"source":{"id":"https://openalex.org/S165318533","display_name":"INFORMS journal on computing","issn_l":"0899-1499","issn":["0899-1499","1091-9856","1526-5528","2326-3245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INFORMS Journal on Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1746506709","https://openalex.org/W2008843339","https://openalex.org/W2010284576","https://openalex.org/W2024046085","https://openalex.org/W2138019504","https://openalex.org/W2149591630","https://openalex.org/W2151768285","https://openalex.org/W2165698076","https://openalex.org/W2480209617","https://openalex.org/W2885437164","https://openalex.org/W2945976633","https://openalex.org/W2998015774","https://openalex.org/W3102834905","https://openalex.org/W3182437200","https://openalex.org/W3184364599","https://openalex.org/W3216660278","https://openalex.org/W4244393449","https://openalex.org/W4249303080","https://openalex.org/W4306855755","https://openalex.org/W4375951932"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596"],"abstract_inverted_index":{"We":[0],"propose":[1,158],"a":[2,19,76,85,98,133,138,159],"new":[3],"form":[4],"of":[5,58,129,151,169,217],"predictive":[6,30,104,123,155],"models,":[7,182],"Partially":[8],"Interpretable":[9],"Estimators":[10],"(PIE),":[11],"which":[12],"jointly":[13,164],"train":[14],"an":[15],"interpretable":[16],"model":[17,21,25,47,89,100,111,146],"and":[18,225,248],"black-box":[20,99,119,181],"to":[22,53,74,78,90,101,143,147,179,193],"achieve":[23,91],"partial":[24],"transparency":[26],"while":[27,93,117],"maintaining":[28],"high":[29],"performance.":[31,105],"Our":[32],"design":[33],"is":[34,52,72,190,220,251],"motivated":[35],"by":[36,125,198],"prior":[37],"research":[38],"showing":[39],"that":[40,64,163,174,187,213],"interpretability":[41,92,189],"does":[42],"not":[43,66],"require":[44],"exposing":[45],"all":[46],"details.":[48],"Therefore,":[49],"our":[50],"objective":[51],"explain":[54],"the":[55,59,79,95,103,108,113,118,127,145,166,215,223,236],"main":[56],"components":[57,168],"prediction,":[60],"withholding":[61],"complicated":[62],"calculations":[63],"may":[65],"be":[67],"necessary":[68],"for":[69,203],"users.":[70],"PIE":[71,175],"designed":[73],"attribute":[75],"prediction":[77,96],"contribution":[80],"from":[81,235],"individual":[82],"features":[83],"via":[84],"sparse":[86],"linear":[87,109,194],"additive":[88,110],"complementing":[94],"with":[97,183],"boost":[102],"As":[106],"such,":[107],"captures":[112],"primary":[114],"feature":[115,130],"contributions,":[116],"component":[120],"augments":[121],"PIE\u2019s":[122],"power":[124],"capturing":[126],"\u201cnuances\u201d":[128],"interactions":[131],"as":[132,232,234],"refinement.":[134],"Moreover,":[135],"we":[136,157],"include":[137],"sparsity":[139],"constraint,":[140],"allowing":[141],"users":[142],"adjust":[144],"meet":[148],"domain-specific":[149],"needs":[150],"interpretability.":[152],"To":[153],"optimize":[154],"performance,":[156],"coordinated":[160],"training":[161],"algorithm":[162],"trains":[165],"two":[167],"PIE.":[170],"Experimental":[171],"results":[172],"show":[173],"achieves":[176],"accuracy":[177],"comparable":[178],"state-of-the-art":[180],"human":[184],"assessments":[185],"confirming":[186],"its":[188,226],"nearly":[191],"equivalent":[192],"models.":[195],"History:":[196],"Accepted":[197],"Ram":[199],"Ramesh,":[200],"Area":[201],"Editor":[202],"Data":[204,249],"Science":[205],"&":[206],"Machine":[207],"Learning.":[208],"Supplemental":[209,227],"Material:":[210],"The":[211,244],"software":[212,239],"supports":[214],"findings":[216],"this":[218],"study":[219],"available":[221,252],"within":[222],"paper":[224],"Information":[228],"(":[229,241],"https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2022.0098":[230],")":[231],"well":[233],"IJOC":[237,246],"GitHub":[238],"repository":[240],"https://github.com/INFORMSJoC/2022.0098":[242],").":[243],"complete":[245],"Software":[247],"Repository":[250],"at":[253],"https://informsjoc.github.io/":[254],".":[255]},"counts_by_year":[],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}