{"id":"https://openalex.org/W2168657285","doi":"https://doi.org/10.1109/icassp.2011.5946260","title":"Scalable robust hypothesis tests using graphical models","display_name":"Scalable robust hypothesis tests using graphical models","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2168657285","doi":"https://doi.org/10.1109/icassp.2011.5946260","mag":"2168657285"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946260","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":"conference-paper","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/A5008739951","display_name":"Divyanshu Vats","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Divyanshu Vats","raw_affiliation_strings":["Department of Electricaland Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electricaland Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014013504","display_name":"Vishal Monga","orcid":"https://orcid.org/0000-0002-5100-2263"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishal Monga","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083291263","display_name":"Umamahesh Srinivas","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umamahesh Srinivas","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045861415","display_name":"Jos\u00e9 M. F. Moura","orcid":"https://orcid.org/0000-0002-9822-8294"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose M. F. Moura","raw_affiliation_strings":["Department of Electricaland Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electricaland Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3612","last_page":"3615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9968000054359436,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9958999752998352,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.6580238342285156},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.610578179359436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5948183536529541},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5762714147567749},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5333853363990784},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5211170315742493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.502312183380127},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.46373286843299866},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.43122559785842896},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.4257934093475342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4009239077568054},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36666369438171387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3536206781864166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.321883887052536},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2740776836872101}],"concepts":[{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.6580238342285156},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.610578179359436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5948183536529541},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5762714147567749},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5333853363990784},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5211170315742493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.502312183380127},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.46373286843299866},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.43122559785842896},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.4257934093475342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4009239077568054},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36666369438171387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3536206781864166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.321883887052536},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2740776836872101},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5946260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946260","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"}],"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/W1492251543","https://openalex.org/W1592121239","https://openalex.org/W2014002306","https://openalex.org/W2020999234","https://openalex.org/W2045021643","https://openalex.org/W2097666957","https://openalex.org/W2112694609","https://openalex.org/W2116402545","https://openalex.org/W2120340025","https://openalex.org/W2153417333","https://openalex.org/W2163166770","https://openalex.org/W2563860794","https://openalex.org/W3004623877","https://openalex.org/W3099452348","https://openalex.org/W4285719527","https://openalex.org/W4388323202","https://openalex.org/W6635459294","https://openalex.org/W6681811058","https://openalex.org/W6682388183","https://openalex.org/W7024225124"],"related_works":["https://openalex.org/W2016058626","https://openalex.org/W2474724840","https://openalex.org/W2895916002","https://openalex.org/W1814049089","https://openalex.org/W1977348009","https://openalex.org/W2369683208","https://openalex.org/W2084836983","https://openalex.org/W1530911128","https://openalex.org/W1555347637","https://openalex.org/W2362133437"],"abstract_inverted_index":{"Traditional":[0],"binary":[1],"hypothesis":[2,58],"testing":[3,59],"relies":[4],"on":[5,19,138,150],"the":[6,10,41,68,76,79,84,109,112,143],"precise":[7],"knowledge":[8,53],"of":[9,13,51,78,86,111],"probability":[11],"density":[12],"an":[14],"observed":[15,42,113],"random":[16,114],"vector":[17],"conditioned":[18],"each":[20],"hypothesis.":[21],"However,":[22],"for":[23,72,88,135],"many":[24],"applications,":[25],"these":[26],"densities":[27],"can":[28],"only":[29],"be":[30],"approximated":[31,80],"due":[32],"to":[33,47,66,130],"limited":[34,97],"training":[35],"data":[36,152],"or":[37],"dynamic":[38],"changes":[39],"affecting":[40],"signal.":[43],"A":[44],"classical":[45],"approach":[46],"handle":[48],"such":[49],"scenarios":[50],"imprecise":[52,81],"is":[54,64],"via":[55,122],"minimax":[56],"robust":[57,89],"(RHT),":[60],"where":[61],"a":[62,154,162],"test":[63],"designed":[65],"minimize":[67],"worst":[69],"case":[70],"performance":[71],"all":[73],"models":[74],"in":[75,100,126,145],"vicinity":[77],"density.":[82],"Despite":[83],"promise":[85],"RHT":[87,99,137],"classification":[90],"problems,":[91],"its":[92,101],"applications":[93],"have":[94],"remained":[95],"rather":[96],"because":[98],"native":[102],"form":[103],"does":[104],"not":[105],"scale":[106],"gracefully":[107],"with":[108],"dimension":[110],"vector.":[115],"In":[116],"this":[117],"paper,":[118],"we":[119],"use":[120],"approximations":[121],"probabilistic":[123],"graphical":[124],"models,":[125],"particular":[127],"block-tree":[128],"graphs,":[129],"enable":[131],"computationally":[132],"tractable":[133],"algorithms":[134],"realizing":[136],"high-dimensional":[139],"data.":[140],"We":[141],"quantify":[142],"reductions":[144],"computational":[146],"complexity.":[147],"Experimental":[148],"results":[149],"simulated":[151],"and":[153],"target":[155],"recognition":[156],"problem":[157],"show":[158],"minimal":[159],"loss":[160],"over":[161],"true":[163],"RHT.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
