{"id":"https://openalex.org/W4313492041","doi":"https://doi.org/10.1145/3570991.3571022","title":"Generalized Structured Low-Rank Tensor Learning","display_name":"Generalized Structured Low-Rank Tensor Learning","publication_year":2023,"publication_date":"2023-01-04","ids":{"openalex":"https://openalex.org/W4313492041","doi":"https://doi.org/10.1145/3570991.3571022"},"language":"en","primary_location":{"id":"doi:10.1145/3570991.3571022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570991.3571022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Joint International Conference on Data Science &amp; Management of Data (10th ACM IKDD CODS and 28th COMAD)","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/A5061853469","display_name":"Jayadev Naram","orcid":"https://orcid.org/0000-0003-3430-3926"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jayadev Naram","raw_affiliation_strings":["International Institute of Information Technology, Hyderabad, India"],"raw_orcid":"https://orcid.org/0000-0003-3430-3926","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071977537","display_name":"Tanmay Kumar Sinha","orcid":"https://orcid.org/0000-0002-1937-8682"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanmay Sinha","raw_affiliation_strings":["International Institute of Information Technology Hyderabad, India"],"raw_orcid":"https://orcid.org/0000-0002-1937-8682","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067384528","display_name":"Pawan Kumar","orcid":"https://orcid.org/0000-0001-5632-6964"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pawan Kumar","raw_affiliation_strings":["International Institute of Information Technology Hyderabad, India"],"raw_orcid":"https://orcid.org/0000-0001-5632-6964","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061853469"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00539527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational 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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.923799991607666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/duality","display_name":"Duality (order theory)","score":0.6727924346923828},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6682543158531189},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6374388337135315},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6092197299003601},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5514732599258423},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4845260977745056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45396527647972107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4500869810581207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33188313245773315},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.18296635150909424},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15652835369110107},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.1381244957447052}],"concepts":[{"id":"https://openalex.org/C2778023678","wikidata":"https://www.wikidata.org/wiki/Q554403","display_name":"Duality (order theory)","level":2,"score":0.6727924346923828},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6682543158531189},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6374388337135315},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6092197299003601},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5514732599258423},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4845260977745056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45396527647972107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4500869810581207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33188313245773315},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.18296635150909424},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15652835369110107},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.1381244957447052}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570991.3571022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570991.3571022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Joint International Conference on Data Science &amp; Management of Data (10th ACM IKDD CODS and 28th COMAD)","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":22,"referenced_works":["https://openalex.org/W1814521481","https://openalex.org/W1968154520","https://openalex.org/W1985077192","https://openalex.org/W2006808740","https://openalex.org/W2024165284","https://openalex.org/W2030628896","https://openalex.org/W2033560557","https://openalex.org/W2058078260","https://openalex.org/W2081962379","https://openalex.org/W2091449379","https://openalex.org/W2117198760","https://openalex.org/W2139208832","https://openalex.org/W2151471453","https://openalex.org/W2339621810","https://openalex.org/W2605190428","https://openalex.org/W2913935587","https://openalex.org/W2959339346","https://openalex.org/W2972366341","https://openalex.org/W3035318978","https://openalex.org/W4205293427","https://openalex.org/W4234552385","https://openalex.org/W4255556797"],"related_works":["https://openalex.org/W1607380236","https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,14,33,39,53,110,120],"problem":[3,50,76],"of":[4,38,112,119],"learning":[5,58],"tensors":[6],"from":[7],"partial":[8],"observations":[9],"with":[10],"structural":[11],"constraints,":[12],"under":[13],"low-rank":[15,25,46,56],"assumption.":[16],"To":[17,60],"this":[18,62],"end,":[19],"we":[20,64,83,107],"propose":[21],"a":[22,78],"general":[23,122],"convex":[24,45],"regularizer,":[26],"parameterized":[27],"by":[28],"linear":[29,40],"maps,":[30],"that":[31],"extends":[32],"existing":[34],"regularizers.":[35,47],"Different":[36],"choices":[37],"maps":[41],"lead":[42],"to":[43,68,85,103],"different":[44],"The":[48,74,93],"resulting":[49],"is":[51,97,101],"called":[52],"generalized":[54],"structured":[55],"tensor":[57],"problem.":[59],"solve":[61],"problem,":[63],"use":[65],"duality":[66,95],"theory":[67],"reformulate":[69],"it":[70,100],"into":[71],"simpler":[72],"sub-problems.":[73],"dual":[75],"contains":[77],"rich":[79],"geometric":[80],"structure,":[81],"which":[82],"exploit":[84],"develop":[86],"first-order":[87],"and":[88,99],"second-order":[89],"Riemannian":[90],"optimization":[91],"algorithms.":[92],"associated":[94],"gap":[96],"derived,":[98],"shown":[102],"be":[104],"zero.":[105],"Moreover,":[106],"experimentally":[108],"verify":[109],"correctness":[111],"our":[113],"algorithm":[114],"on":[115],"several":[116],"special":[117],"cases":[118],"proposed":[121],"framework.":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
