{"id":"https://openalex.org/W2807066077","doi":"https://doi.org/10.24963/ijcai.2019/157","title":"Entropy-Penalized Semidefinite Programming","display_name":"Entropy-Penalized Semidefinite Programming","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2807066077","doi":"https://doi.org/10.24963/ijcai.2019/157","mag":"2807066077"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/157","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/157","pdf_url":"https://www.ijcai.org/proceedings/2019/0157.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0157.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079603572","display_name":"Mikhail Krechetov","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Mikhail Krechetov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Nobel Street 3, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Nobel Street 3, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003656133","display_name":"Jakub Mare\u010dek","orcid":"https://orcid.org/0000-0003-0839-0691"},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Jakub Marecek","raw_affiliation_strings":["IBM Research -- Ireland, Technology Campus Damastown, Dublin D15, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Research -- Ireland, Technology Campus Damastown, Dublin D15, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085595650","display_name":"Yury Maximov","orcid":"https://orcid.org/0000-0002-8135-4622"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]},{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU","US"],"is_corresponding":false,"raw_author_name":"Yury Maximov","raw_affiliation_strings":["Los Alamos National Laboratory, MS-B284, Los Alamos, NM 87545, USA","Skolkovo Institute of Science and Technology, Nobel Street 3, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, MS-B284, Los Alamos, NM 87545, USA","institution_ids":["https://openalex.org/I1343871089"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Nobel Street 3, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070679093","display_name":"Martin Tak\u00e1\u010d","orcid":"https://orcid.org/0000-0001-7455-2025"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Takac","raw_affiliation_strings":["Lehigh University, 200 West Packer Avenue, Bethlehem, PA 18015, USA"],"affiliations":[{"raw_affiliation_string":"Lehigh University, 200 West Packer Avenue, Bethlehem, PA 18015, USA","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079603572"],"corresponding_institution_ids":["https://openalex.org/I125989756"],"apc_list":null,"apc_paid":null,"fwci":0.9705,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71563013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1123","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.989799976348877,"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/semidefinite-programming","display_name":"Semidefinite programming","score":0.8356437683105469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6324489116668701},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5959907174110413},{"id":"https://openalex.org/keywords/semidefinite-embedding","display_name":"Semidefinite embedding","score":0.5839639902114868},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.5599507093429565},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5228881239891052},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.49730899930000305},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.427674263715744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34971317648887634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3429965078830719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2870469093322754},{"id":"https://openalex.org/keywords/quadratically-constrained-quadratic-program","display_name":"Quadratically constrained quadratic program","score":0.17520734667778015},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.0964730978012085}],"concepts":[{"id":"https://openalex.org/C101901036","wikidata":"https://www.wikidata.org/wiki/Q2269096","display_name":"Semidefinite programming","level":2,"score":0.8356437683105469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6324489116668701},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5959907174110413},{"id":"https://openalex.org/C206818286","wikidata":"https://www.wikidata.org/wiki/Q7449403","display_name":"Semidefinite embedding","level":4,"score":0.5839639902114868},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.5599507093429565},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5228881239891052},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.49730899930000305},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.427674263715744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34971317648887634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3429965078830719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2870469093322754},{"id":"https://openalex.org/C65148998","wikidata":"https://www.wikidata.org/wiki/Q7268373","display_name":"Quadratically constrained quadratic program","level":3,"score":0.17520734667778015},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.0964730978012085},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2019/157","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/157","pdf_url":"https://www.ijcai.org/proceedings/2019/0157.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1802.04332","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.04332","pdf_url":"https://arxiv.org/pdf/1802.04332","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:10.24963/ijcai.2019/157","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/157","pdf_url":"https://www.ijcai.org/proceedings/2019/0157.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1127810244","display_name":null,"funder_award_id":"89233218CNA0000","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G1406813184","display_name":null,"funder_award_id":"89233218CNA000","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G216489703","display_name":null,"funder_award_id":"89233218CNA00000","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G2776190829","display_name":null,"funder_award_id":"Contract No. 89233218CNA000001","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G3041188381","display_name":"Collaborative Research:  TRIPODS Institute for Optimization and Learning","funder_award_id":"1740796","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3359278407","display_name":null,"funder_award_id":"9233218CNA000001","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G3793674015","display_name":null,"funder_award_id":"9233218CNA000001","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G4137131732","display_name":null,"funder_award_id":"89233218CNA000001)","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G4748082740","display_name":null,"funder_award_id":"Contract No. 89233218CNA000001","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G4950733632","display_name":null,"funder_award_id":"000001","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G5479629224","display_name":"GOALI: Machine Learning Approaches for Supply Chain Decision-Making","funder_award_id":"1663256","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5557929917","display_name":null,"funder_award_id":"NSF:CCF:1740796","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6083127429","display_name":null,"funder_award_id":"00001","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6195374611","display_name":null,"funder_award_id":"CCF:1740796","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6387710405","display_name":null,"funder_award_id":"9233218CNA00000","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G640146193","display_name":null,"funder_award_id":"NSF:CCF:1618717","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6405349157","display_name":null,"funder_award_id":"NSF:CMMI:1663256","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6995210142","display_name":null,"funder_award_id":"89233218CNA000001","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G7038891139","display_name":null,"funder_award_id":"89233218","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G70659677","display_name":null,"funder_award_id":"89233218CNA000001","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452998910","display_name":null,"funder_award_id":"00000","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7500863821","display_name":null,"funder_award_id":"89233218CNA000001","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G7552422871","display_name":null,"funder_award_id":"NSF:CCF:161871","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7851296133","display_name":null,"funder_award_id":"9233218CNA000001","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7977534188","display_name":null,"funder_award_id":"No. 89233218CNA000001","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G8084227899","display_name":"AF: Small: New classes of optimization methods for nonconvex large scale machine learning models.","funder_award_id":"1618717","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8659807574","display_name":null,"funder_award_id":"89233218CNA000001","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8770029225","display_name":null,"funder_award_id":"No. 89233218CNA000001","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G8803809456","display_name":null,"funder_award_id":"89233218CNA00000","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G996238640","display_name":null,"funder_award_id":"89233218CNA00000","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332369","display_name":"National Nuclear Security Administration","ror":"https://ror.org/03sk1we31"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"},{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2807066077.pdf","grobid_xml":"https://content.openalex.org/works/W2807066077.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W17407774","https://openalex.org/W129046272","https://openalex.org/W161217653","https://openalex.org/W376676247","https://openalex.org/W404764422","https://openalex.org/W572922989","https://openalex.org/W1511187233","https://openalex.org/W1573301526","https://openalex.org/W1607580485","https://openalex.org/W1916337001","https://openalex.org/W1967184028","https://openalex.org/W1969698720","https://openalex.org/W1971016514","https://openalex.org/W1983874169","https://openalex.org/W1985123706","https://openalex.org/W2000157792","https://openalex.org/W2045148236","https://openalex.org/W2069154666","https://openalex.org/W2089269329","https://openalex.org/W2097525406","https://openalex.org/W2098678088","https://openalex.org/W2111604514","https://openalex.org/W2118550318","https://openalex.org/W2120340025","https://openalex.org/W2122090912","https://openalex.org/W2138505091","https://openalex.org/W2143075842","https://openalex.org/W2152045836","https://openalex.org/W2156825077","https://openalex.org/W2189224591","https://openalex.org/W2268876679","https://openalex.org/W2396019715","https://openalex.org/W2401213470","https://openalex.org/W2409839127","https://openalex.org/W2415208755","https://openalex.org/W2504806216","https://openalex.org/W2566505556","https://openalex.org/W2566608758","https://openalex.org/W2597410408","https://openalex.org/W2611807022","https://openalex.org/W2751083812","https://openalex.org/W2752077201","https://openalex.org/W2848545184","https://openalex.org/W2950432753","https://openalex.org/W2962972410","https://openalex.org/W2963012520","https://openalex.org/W2963449128","https://openalex.org/W2963621409","https://openalex.org/W2963929357","https://openalex.org/W2963972677","https://openalex.org/W4289754228","https://openalex.org/W4293052541","https://openalex.org/W4296926842","https://openalex.org/W4298393077"],"related_works":["https://openalex.org/W2385886188","https://openalex.org/W2288891047","https://openalex.org/W2524928742","https://openalex.org/W2362452378","https://openalex.org/W2353517195","https://openalex.org/W3166939022","https://openalex.org/W1727084346","https://openalex.org/W2544939111","https://openalex.org/W2386048074","https://openalex.org/W2572095861"],"abstract_inverted_index":{"Low-rank":[0],"methods":[1],"for":[2,52,90],"semi-definite":[3],"programming":[4],"(SDP)":[5],"have":[6],"gained":[7],"a":[8,49,53,64],"lot":[9],"of":[10,56,82,102],"interest":[11],"recently,":[12],"especially":[13],"in":[14,31,60],"machine":[15,92,110],"learning":[16,93,111],"applications.":[17],"Their":[18],"analysis":[19],"often":[20],"involves":[21],"determinant-based":[22],"or":[23],"Schatten-norm":[24],"penalties,":[25],"which":[26,47],"are":[27],"difficult":[28],"to":[29,34,62],"implement":[30],"practice":[32,61],"due":[33],"high":[35],"computational":[36],"efforts.":[37],"In":[38],"this":[39,86],"paper,":[40],"we":[41],"propose":[42],"Entropy-Penalized":[43],"Semi-Definite":[44],"Programming":[45],"(EP-SDP),":[46],"provides":[48],"unified":[50],"framework":[51],"broad":[54],"class":[55],"penalty":[57],"functions":[58],"used":[59],"promote":[63],"low-rank":[65],"solution.":[66],"We":[67,97],"show":[68],"that":[69],"EP-SDP":[70],"problems":[71],"admit":[72],"an":[73],"efficient":[74],"numerical":[75],"algorithm,":[76],"having":[77],"(almost)":[78],"linear":[79],"time":[80],"complexity":[81],"the":[83,99],"gradient":[84],"computation;":[85],"makes":[87],"it":[88],"useful":[89],"many":[91],"and":[94,109],"optimization":[95,108],"problems.":[96,112],"illustrate":[98],"practical":[100],"efficiency":[101],"our":[103],"approach":[104],"on":[105],"several":[106],"combinatorial":[107]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
