{"id":"https://openalex.org/W7164007849","doi":"https://doi.org/10.1145/3798129.3800763","title":"Derandomizing Matrix Concentration Inequalities from Free Probability","display_name":"Derandomizing Matrix Concentration Inequalities from Free Probability","publication_year":2026,"publication_date":"2026-06-09","ids":{"openalex":"https://openalex.org/W7164007849","doi":"https://doi.org/10.1145/3798129.3800763"},"language":null,"primary_location":{"id":"doi:10.1145/3798129.3800763","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3798129.3800763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 58th Annual ACM Symposium on Theory of Computing","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/A5076932461","display_name":"Robert Wang","orcid":"https://orcid.org/0000-0002-6036-3888"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Robert Wang","raw_affiliation_strings":["University of Waterloo, Cheriton School of Computer Science, Waterloo, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6036-3888","affiliations":[{"raw_affiliation_string":"University of Waterloo, Cheriton School of Computer Science, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138219669","display_name":"Lap Chi Lau","orcid":"https://orcid.org/0000-0001-9142-1393"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lap Chi Lau","raw_affiliation_strings":["University of Waterloo, Cheriton School of Computer Science, Waterloo, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9142-1393","affiliations":[{"raw_affiliation_string":"University of Waterloo, Cheriton School of Computer Science, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101398026","display_name":"Hong Zhou","orcid":"https://orcid.org/0000-0003-0784-4073"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhou","raw_affiliation_strings":["Fuzhou University, School of Mathematics and Statistics, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0784-4073","affiliations":[{"raw_affiliation_string":"Fuzhou University, School of Mathematics and Statistics, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076932461"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.96203234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"443","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11716","display_name":"Random Matrices and Applications","score":0.5169000029563904,"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/T11716","display_name":"Random Matrices and Applications","score":0.5169000029563904,"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/T11564","display_name":"Mathematical Inequalities and Applications","score":0.06129999831318855,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.02669999934732914,"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/matrix","display_name":"Matrix (chemical analysis)","score":0.4122999906539917},{"id":"https://openalex.org/keywords/inequality","display_name":"Inequality","score":0.35899999737739563},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.31290000677108765},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.27059999108314514},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.2660999894142151}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5593000054359436},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.38280001282691956},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C122203268","wikidata":"https://www.wikidata.org/wiki/Q5862903","display_name":"Probability theory","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.2483000010251999},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.24140000343322754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3798129.3800763","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3798129.3800763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 58th Annual ACM Symposium on Theory of Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.578925371170044,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W591099569","https://openalex.org/W1650240946","https://openalex.org/W1884490694","https://openalex.org/W1983193888","https://openalex.org/W1992277021","https://openalex.org/W2035501532","https://openalex.org/W2051302879","https://openalex.org/W2067081844","https://openalex.org/W2080024126","https://openalex.org/W2107411554","https://openalex.org/W2158177004","https://openalex.org/W2346816364","https://openalex.org/W2558885861","https://openalex.org/W2593701861","https://openalex.org/W2962998255","https://openalex.org/W3035192619","https://openalex.org/W3194228126","https://openalex.org/W4206039841","https://openalex.org/W4376639556","https://openalex.org/W4403296614","https://openalex.org/W4406141864"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-10T14:10:52.464848","created_date":"2026-06-10T00:00:00"}