{"id":"https://openalex.org/W2130441510","doi":"https://doi.org/10.1109/icassp.2011.5947199","title":"Robust nonparametric regression by controlling sparsity*","display_name":"Robust nonparametric regression by controlling sparsity*","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2130441510","doi":"https://doi.org/10.1109/icassp.2011.5947199","mag":"2130441510"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5947199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5006078163","display_name":"Gonzalo Mateos","orcid":"https://orcid.org/0000-0002-9847-6298"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gonzalo Mateos","raw_affiliation_strings":["Department of ECE, University of Minnesota, Minneapolis, MN, USA","Dept. of ECE, University of Minnesota, 200 Union Street SE, Minneapolis, 55455, USA"],"affiliations":[{"raw_affiliation_string":"Department of ECE, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Dept. of ECE, University of Minnesota, 200 Union Street SE, Minneapolis, 55455, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios B. Giannakis","raw_affiliation_strings":["Department of ECE, University of Minnesota, Minneapolis, MN, USA","Dept. of ECE, University of Minnesota, 200 Union Street SE, Minneapolis, 55455, USA"],"affiliations":[{"raw_affiliation_string":"Department of ECE, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Dept. of ECE, University of Minnesota, 200 Union Street SE, Minneapolis, 55455, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006078163"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.3521,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65607995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3880","last_page":"3883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9980000257492065,"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7006286382675171},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6560831069946289},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6232917904853821},{"id":"https://openalex.org/keywords/robustification","display_name":"Robustification","score":0.6085063219070435},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.5793201923370361},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5485084056854248},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5117683410644531},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5016343593597412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49670082330703735},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.4921855032444},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.4574510455131531},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4135391414165497},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38777661323547363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3848191499710083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36935752630233765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29546433687210083},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22084501385688782}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7006286382675171},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6560831069946289},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6232917904853821},{"id":"https://openalex.org/C2778584072","wikidata":"https://www.wikidata.org/wiki/Q7353545","display_name":"Robustification","level":3,"score":0.6085063219070435},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.5793201923370361},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5485084056854248},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5117683410644531},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5016343593597412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49670082330703735},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.4921855032444},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.4574510455131531},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4135391414165497},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38777661323547363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3848191499710083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36935752630233765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29546433687210083},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22084501385688782},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2011.5947199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.701.3526","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.701.3526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.rochester.edu/%7Egmateosb/pubs/uspacor/RNR_ICASSP11.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2012032197","https://openalex.org/W2014896416","https://openalex.org/W2020925091","https://openalex.org/W2063978378","https://openalex.org/W2097360283","https://openalex.org/W2101223300","https://openalex.org/W2107861471","https://openalex.org/W2110652811","https://openalex.org/W2126607811","https://openalex.org/W2129249398","https://openalex.org/W2135046866","https://openalex.org/W2146766088","https://openalex.org/W2147656689","https://openalex.org/W2489822048","https://openalex.org/W2498631646","https://openalex.org/W4294541781","https://openalex.org/W4298876635"],"related_works":["https://openalex.org/W2896398456","https://openalex.org/W2950062701","https://openalex.org/W3121219282","https://openalex.org/W1585351680","https://openalex.org/W2714209867","https://openalex.org/W2999599821","https://openalex.org/W1767106723","https://openalex.org/W2046343964","https://openalex.org/W2018502278","https://openalex.org/W2589006171"],"abstract_inverted_index":{"Nonparametric":[0],"methods":[1],"are":[2,90],"widely":[3],"applicable":[4],"to":[5,33,42,50,81,87,99],"statistical":[6],"learning":[7],"problems,":[8],"since":[9],"they":[10],"rely":[11],"on":[12,75,140],"a":[13,62,82,132],"few":[14],"modeling":[15,65],"assumptions.":[16],"In":[17],"this":[18],"context,":[19],"the":[20,66,101,104,108,125],"fresh":[21],"look":[22],"advocated":[23],"here":[24],"permeates":[25],"benefits":[26],"from":[27],"variable":[28],"selection":[29],"and":[30],"compressive":[31],"sampling,":[32],"robustify":[34],"nonparametric":[35],"regression":[36,45],"against":[37],"outliers.":[38,67],"A":[39],"variational":[40,83],"counterpart":[41],"least-trimmed":[43],"squares":[44],"is":[46,121],"shown":[47],"closely":[48],"related":[49],"an":[51],"\u2113":[52,126],"<inf":[53,127],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[54,128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</inf>":[55,129],"-(pseudo)norm-regularized":[56],"estimator,":[57],"that":[58],"encourages":[59],"sparsity":[60,102],"in":[61],"vector":[63,106],"explicitly":[64],"This":[68],"connection":[69],"suggests":[70],"efficient":[71],"(approximate)":[72],"solvers":[73],"based":[74],"convex":[76],"relaxation,":[77],"which":[78,97],"lead":[79],"naturally":[80],"M-type":[84],"estimator":[85,117],"equivalent":[86],"Lasso.":[88],"Outliers":[89],"identified":[91],"by":[92],"judiciously":[93],"tuning":[94],"regularization":[95],"parameters,":[96],"amounts":[98],"controlling":[100],"of":[103,112],"outlier":[105],"along":[107],"whole":[109],"robustification":[110],"path":[111],"Lasso":[113],"solutions.":[114],"An":[115],"improved":[116],"with":[118,131],"reduced":[119],"bias":[120],"obtained":[122],"after":[123],"replacing":[124],"-(pseudo)norm":[130],"nonconvex":[133],"surrogate,":[134],"as":[135],"corroborated":[136],"via":[137],"simulated":[138],"tests":[139],"robust":[141],"thin-plate":[142],"smoothing":[143],"splines.":[144]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
