{"id":"https://openalex.org/W2975191084","doi":"https://doi.org/10.1109/isit.2019.8849704","title":"Sample-Measurement Tradeoff in Support Recovery Under a Subgaussian Prior","display_name":"Sample-Measurement Tradeoff in Support Recovery Under a Subgaussian Prior","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2975191084","doi":"https://doi.org/10.1109/isit.2019.8849704","mag":"2975191084"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2019.8849704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","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/A5076342023","display_name":"Lekshmi Ramesh","orcid":"https://orcid.org/0000-0002-1179-944X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Lekshmi Ramesh","raw_affiliation_strings":["Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, 560012, India","Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, 560012, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052103809","display_name":"Chandra R. Murthy","orcid":"https://orcid.org/0000-0003-4901-9434"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra R. Murthy","raw_affiliation_strings":["Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, 560012, India","Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, 560012, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077741905","display_name":"Himanshu Tyagi","orcid":"https://orcid.org/0000-0003-2950-706X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Himanshu Tyagi","raw_affiliation_strings":["Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, 560012, India","Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, 560012, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076342023"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":1.2027,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8171266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2709","last_page":"2713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9914000034332275,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9914000034332275,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9882000088691711,"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/estimator","display_name":"Estimator","score":0.6768364310264587},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5449468493461609},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"Sample complexity","score":0.4446643888950348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44326433539390564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3406411409378052},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29334139823913574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2924577593803406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2911251187324524},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.11807000637054443},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0951947569847107}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6768364310264587},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5449468493461609},{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.4446643888950348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44326433539390564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3406411409378052},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29334139823913574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2924577593803406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2911251187324524},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.11807000637054443},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0951947569847107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2019.8849704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai::77496","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1971398013","https://openalex.org/W1979186671","https://openalex.org/W1987415890","https://openalex.org/W2010221098","https://openalex.org/W2130076109","https://openalex.org/W2141556672","https://openalex.org/W2152279006","https://openalex.org/W2156587627","https://openalex.org/W2615945947","https://openalex.org/W2776706740","https://openalex.org/W2800096518","https://openalex.org/W2883214326","https://openalex.org/W2963297687","https://openalex.org/W2965341441","https://openalex.org/W4289083480","https://openalex.org/W6757333408"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4287880334","https://openalex.org/W2607437843","https://openalex.org/W4295700147","https://openalex.org/W2963162727","https://openalex.org/W2106714532","https://openalex.org/W4297979791"],"abstract_inverted_index":{"Data":[0],"samples":[1,31,49,72],"from":[2,51],"\u211d":[3],"<sup":[4,61,65],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[5,62,66],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">d</sup>":[6],"with":[7,47],"common":[8,37],"support":[9],"of":[10,25,94],"size":[11],"k":[12],"are":[13,32,73],"accessed":[14],"through":[15],"m":[16,26],"linear":[17],"projections":[18],"per":[19],"sample.":[20],"In":[21],"the":[22,36,80],"measurement-starved":[23],"regime":[24],"<;":[27],"k,":[28],"how":[29],"many":[30],"needed":[33],"to":[34,77],"recover":[35,79],"support?":[38],"We":[39,55],"answer":[40],"this":[41],"question":[42],"for":[43],"a":[44,52,87],"generative":[45],"model":[46],"independent":[48],"drawn":[50],"subgaussian":[53],"prior.":[54],"show":[56],"that":[57],"n":[58],"=":[59],"\u0398((k":[60],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[63,67],"/m":[64],")":[68],"log(k(d":[69],"-":[70],"k)))":[71],"necessary":[74],"and":[75,90],"sufficient":[76],"exactly":[78],"support.":[81],"Our":[82],"proposed":[83],"sample-optimal":[84],"estimator":[85],"has":[86,91],"closed-form":[88],"expression":[89],"computational":[92],"complexity":[93],"O(dnm).":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
