{"id":"https://openalex.org/W3093377024","doi":"https://doi.org/10.1007/s10994-020-05926-z","title":"Robust high dimensional expectation maximization algorithm via trimmed hard thresholding","display_name":"Robust high dimensional expectation maximization algorithm via trimmed hard thresholding","publication_year":2020,"publication_date":"2020-11-02","ids":{"openalex":"https://openalex.org/W3093377024","doi":"https://doi.org/10.1007/s10994-020-05926-z","mag":"3093377024"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-020-05926-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-020-05926-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-020-05926-z.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-020-05926-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100401482","display_name":"Di Wang","orcid":"https://orcid.org/0000-0003-4908-0243"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Di Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102728945","display_name":"Xiangyu Guo","orcid":"https://orcid.org/0000-0003-0727-5245"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangyu Guo","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430766","display_name":"Shi Li","orcid":"https://orcid.org/0000-0001-9140-9415"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shi Li","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA","Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110717371","display_name":"Jinhui Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinhui Xu","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA","Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100401482"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.4411,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67361614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"109","issue":"12","first_page":"2283","last_page":"2311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9987000226974487,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9987000226974487,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9961000084877014,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9952999949455261,"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/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.6701474189758301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6469094753265381},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5678675770759583},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.564948558807373},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5324303507804871},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4953061640262604},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4828501343727112},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.479677677154541},{"id":"https://openalex.org/keywords/trimming","display_name":"Trimming","score":0.47723817825317383},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.41159144043922424},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4063175618648529},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3692300319671631},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35073643922805786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.23438557982444763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2019510567188263},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2018682062625885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1950969696044922},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.14744123816490173},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09892210364341736}],"concepts":[{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.6701474189758301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6469094753265381},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5678675770759583},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.564948558807373},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5324303507804871},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4953061640262604},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4828501343727112},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.479677677154541},{"id":"https://openalex.org/C56951928","wikidata":"https://www.wikidata.org/wiki/Q3539213","display_name":"Trimming","level":2,"score":0.47723817825317383},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.41159144043922424},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4063175618648529},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3692300319671631},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35073643922805786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23438557982444763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2019510567188263},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2018682062625885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1950969696044922},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.14744123816490173},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09892210364341736},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10994-020-05926-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-020-05926-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-020-05926-z.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2010.09576","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.09576","pdf_url":"https://arxiv.org/pdf/2010.09576","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s10994-020-05926-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-020-05926-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-020-05926-z.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1733853653","display_name":null,"funder_award_id":"IIS-1910492","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5150152595","display_name":null,"funder_award_id":"CCF-1716400","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6147424571","display_name":"III: Small: Novel Geometric Algorithms for Learning from Big Biomedical Data","funder_award_id":"1910492","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8521929477","display_name":"AF:Small: Novel Geometric Techniques for Several Biomedical Problems","funder_award_id":"1716400","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093377024.pdf","grobid_xml":"https://content.openalex.org/works/W3093377024.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W54422097","https://openalex.org/W568673721","https://openalex.org/W1973551391","https://openalex.org/W1989181573","https://openalex.org/W2039269500","https://openalex.org/W2053742104","https://openalex.org/W2099210013","https://openalex.org/W2107438106","https://openalex.org/W2117853077","https://openalex.org/W2126100478","https://openalex.org/W2131172946","https://openalex.org/W2152842394","https://openalex.org/W2184753682","https://openalex.org/W2185602187","https://openalex.org/W2593349530","https://openalex.org/W2594615318","https://openalex.org/W2614254310","https://openalex.org/W2739524504","https://openalex.org/W2741753991","https://openalex.org/W2768353504","https://openalex.org/W2788843661","https://openalex.org/W2789903762","https://openalex.org/W2789911054","https://openalex.org/W2804588286","https://openalex.org/W2897169348","https://openalex.org/W2912801570","https://openalex.org/W2924512540","https://openalex.org/W2942689850","https://openalex.org/W2952782294","https://openalex.org/W2962686239","https://openalex.org/W2962737134","https://openalex.org/W2963147719","https://openalex.org/W2963322354","https://openalex.org/W2964008913","https://openalex.org/W2964164735","https://openalex.org/W2964288084","https://openalex.org/W3104969250","https://openalex.org/W3141595720","https://openalex.org/W4232023503","https://openalex.org/W4236654676","https://openalex.org/W4239873714","https://openalex.org/W4245577611","https://openalex.org/W4252654521","https://openalex.org/W4289815854","https://openalex.org/W4295178705","https://openalex.org/W4375184042","https://openalex.org/W6722760417","https://openalex.org/W6748626757"],"related_works":["https://openalex.org/W2473373438","https://openalex.org/W2078124810","https://openalex.org/W2368486525","https://openalex.org/W2389184397","https://openalex.org/W2077224612","https://openalex.org/W2153481672","https://openalex.org/W2153238387","https://openalex.org/W84255947","https://openalex.org/W2041758614","https://openalex.org/W4312864369"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2020-10-22T00:00:00"}