{"id":"https://openalex.org/W2233419371","doi":"https://doi.org/10.1109/tkde.2016.2539943","title":"Improved Practical Matrix Sketching with Guarantees","display_name":"Improved Practical Matrix Sketching with Guarantees","publication_year":2016,"publication_date":"2016-03-09","ids":{"openalex":"https://openalex.org/W2233419371","doi":"https://doi.org/10.1109/tkde.2016.2539943","mag":"2233419371"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2539943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2539943","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5066337457","display_name":"Amey Desai","orcid":"https://orcid.org/0000-0003-2881-9336"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amey Desai","raw_affiliation_strings":["School of Computing, University of Utah, Salt Lake City, UT 84112"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Utah, Salt Lake City, UT 84112","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059051874","display_name":"Mina Ghashami","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mina Ghashami","raw_affiliation_strings":["School of Computing, University of Utah, Salt Lake City, UT 84112"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Utah, Salt Lake City, UT 84112","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017619650","display_name":"Jeff M. Phillips","orcid":"https://orcid.org/0000-0003-1169-2965"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff M. Phillips","raw_affiliation_strings":["School of Computing, University of Utah, Salt Lake City, UT 84112"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Utah, Salt Lake City, UT 84112","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066337457"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":4.6605,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94400018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"7","first_page":"1678","last_page":"1690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8899116516113281},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.5876635313034058},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5452580451965332},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.54143226146698},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5195222496986389},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.4280601441860199},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4156848192214966},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.41509079933166504},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4001378118991852},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3741942346096039},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3541058301925659},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32799845933914185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18613103032112122}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8899116516113281},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5876635313034058},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5452580451965332},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.54143226146698},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5195222496986389},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.4280601441860199},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4156848192214966},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.41509079933166504},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4001378118991852},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3741942346096039},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3541058301925659},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32799845933914185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18613103032112122},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2016.2539943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2539943","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G3775080162","display_name":null,"funder_award_id":"CNS-1514520","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5672303193","display_name":null,"funder_award_id":"IIS-1251019","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8587161528","display_name":null,"funder_award_id":"ACI-1443046","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8743524556","display_name":null,"funder_award_id":"CCF-1115677","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8988480673","display_name":null,"funder_award_id":"CCF-1350888","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W150179085","https://openalex.org/W176053229","https://openalex.org/W1485437584","https://openalex.org/W1493149182","https://openalex.org/W1493892051","https://openalex.org/W1571664355","https://openalex.org/W1581656968","https://openalex.org/W1605113654","https://openalex.org/W1661223625","https://openalex.org/W1675727887","https://openalex.org/W1787402657","https://openalex.org/W1826290430","https://openalex.org/W1831808549","https://openalex.org/W1968691112","https://openalex.org/W1970576574","https://openalex.org/W1970779762","https://openalex.org/W1970950689","https://openalex.org/W1972525637","https://openalex.org/W1979750072","https://openalex.org/W1984492644","https://openalex.org/W1991962718","https://openalex.org/W1998058722","https://openalex.org/W1998269045","https://openalex.org/W1999352252","https://openalex.org/W2006355640","https://openalex.org/W2008751576","https://openalex.org/W2018989507","https://openalex.org/W2029538739","https://openalex.org/W2037757210","https://openalex.org/W2042465463","https://openalex.org/W2044610104","https://openalex.org/W2045390367","https://openalex.org/W2059867647","https://openalex.org/W2063392856","https://openalex.org/W2070996757","https://openalex.org/W2080234606","https://openalex.org/W2085845250","https://openalex.org/W2085927849","https://openalex.org/W2086486316","https://openalex.org/W2088424151","https://openalex.org/W2089135543","https://openalex.org/W2101043704","https://openalex.org/W2103318769","https://openalex.org/W2109579243","https://openalex.org/W2109818719","https://openalex.org/W2110121428","https://openalex.org/W2113139394","https://openalex.org/W2116019049","https://openalex.org/W2117388026","https://openalex.org/W2119885577","https://openalex.org/W2121689290","https://openalex.org/W2132461362","https://openalex.org/W2133140216","https://openalex.org/W2139047213","https://openalex.org/W2141696759","https://openalex.org/W2152402969","https://openalex.org/W2157988812","https://openalex.org/W2185274938","https://openalex.org/W2233419371","https://openalex.org/W2295655272","https://openalex.org/W2616345629","https://openalex.org/W2949127515","https://openalex.org/W2949334237","https://openalex.org/W2949924912","https://openalex.org/W2950958145","https://openalex.org/W2962984690","https://openalex.org/W2963393358","https://openalex.org/W2979473749","https://openalex.org/W3112410551","https://openalex.org/W3118608800","https://openalex.org/W4243341520","https://openalex.org/W6629100722","https://openalex.org/W6636144950","https://openalex.org/W6638475507","https://openalex.org/W6650267568","https://openalex.org/W6652380797","https://openalex.org/W6763285572","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W3048672182","https://openalex.org/W2394408226","https://openalex.org/W4389168214","https://openalex.org/W4366457933"],"abstract_inverted_index":{"Matrices":[0],"have":[1],"become":[2],"essential":[3],"data":[4,11],"representations":[5],"for":[6],"many":[7,36],"large-scale":[8],"problems":[9],"in":[10,47,50,103,145,177],"analytics,":[12],"and":[13,49,57,70,127,200],"hence":[14],"matrix":[15],"sketching":[16,33],"is":[17],"a":[18,90,191,204],"critical":[19],"task.":[20],"Although":[21],"much":[22],"research":[23],"has":[24],"focused":[25],"on":[26,151,189],"improving":[27],"the":[28,35,59,110,118,123,146,164,178],"error/size":[29],"tradeoff":[30],"under":[31,63,117],"various":[32],"paradigms,":[34],"forms":[37],"of":[38,75,105,125,186],"error":[39,171],"bounds":[40],"make":[41],"these":[42,76],"approaches":[43,102],"hard":[44],"to":[45,55,72,78,98,121,156,169],"compare":[46,58],"theory":[48],"practice.":[51],"This":[52],"paper":[53],"attempts":[54],"categorize":[56],"most":[60,165],"known":[61,101],"methods":[62,77],"row-wise":[64],"streaming":[65],"updates":[66],"with":[67,94,114,207],"provable":[68],"guarantees,":[69,96,115],"then":[71],"tweak":[73],"some":[74,134],"gain":[79],"practical":[80],"improvements":[81,176],"while":[82],"retaining":[83],"guarantees.":[84,130],"For":[85],"instance,":[86],"we":[87,162,182],"observe":[88],"that":[89],"simple":[91],"heuristic":[92],"iSVD,":[93],"no":[95],"tends":[97],"outperform":[99],"all":[100],"terms":[104],"size/error":[106,119],"trade-off.":[107,180],"We":[108,131],"modify":[109,163],"best":[111],"performing":[112],"method":[113],"FREQUENTDIRECTIONS,":[116],"trade-off":[120],"match":[122],"performance":[124],"iSVD":[126,138],"retain":[128,170],"its":[129],"also":[132,203],"demonstrate":[133],"adversarial":[135],"datasets":[136],"where":[137],"performs":[139],"quite":[140],"poorly.":[141],"In":[142,159],"comparing":[143],"techniques":[144,149],"time/error":[147,179],"trade-off,":[148],"based":[150],"hashing":[152],"or":[153],"sampling":[154,167],"tend":[155],"perform":[157],"better.":[158],"this":[160],"setting,":[161],"studied":[166],"regime":[168],"guarantee":[172],"but":[173,202],"obtain":[174],"dramatic":[175],"Finally,":[181],"provide":[183],"easy":[184],"replication":[185],"our":[187],"studies":[188],"APT,":[190],"new":[192],"testbed":[193],"which":[194],"makes":[195],"available":[196],"not":[197],"only":[198],"code":[199],"datasets,":[201],"computing":[205],"platform":[206],"fixed":[208],"environmental":[209],"settings.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
