{"id":"https://openalex.org/W3023806028","doi":"https://doi.org/10.1109/ciss48834.2020.1570617026","title":"Fundamental Limitations in Sequential Prediction and Recursive Algorithms: L<sub>p</sub>Bounds via an Entropic Analysis","display_name":"Fundamental Limitations in Sequential Prediction and Recursive Algorithms: L<sub>p</sub>Bounds via an Entropic Analysis","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3023806028","doi":"https://doi.org/10.1109/ciss48834.2020.1570617026","mag":"3023806028"},"language":"en","primary_location":{"id":"doi:10.1109/ciss48834.2020.1570617026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss48834.2020.1570617026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Annual Conference on Information Sciences and Systems (CISS)","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/A5103280144","display_name":"Song Fang","orcid":"https://orcid.org/0000-0003-0445-8257"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Song Fang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081500464","display_name":"Quanyan Zhu","orcid":"https://orcid.org/0000-0002-0008-2953"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanyan Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103280144"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52159235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9959999918937683,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9883000254631042,"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/T11236","display_name":"Control Systems and Identification","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/algorithm","display_name":"Algorithm","score":0.6161254644393921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5551608800888062}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6161254644393921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5551608800888062}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss48834.2020.1570617026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss48834.2020.1570617026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1201575902","https://openalex.org/W1496462336","https://openalex.org/W1509685104","https://openalex.org/W1546692449","https://openalex.org/W1607198972","https://openalex.org/W1647970348","https://openalex.org/W1667165204","https://openalex.org/W1966264494","https://openalex.org/W2021785397","https://openalex.org/W2041404167","https://openalex.org/W2068641562","https://openalex.org/W2099111195","https://openalex.org/W2107503352","https://openalex.org/W2222445509","https://openalex.org/W2478708596","https://openalex.org/W2495836911","https://openalex.org/W2552995778","https://openalex.org/W2593634001","https://openalex.org/W2783650098","https://openalex.org/W2886903875","https://openalex.org/W2888998726","https://openalex.org/W2939218419","https://openalex.org/W2947000318","https://openalex.org/W2963293671","https://openalex.org/W2964184826","https://openalex.org/W2993189505","https://openalex.org/W3006667744","https://openalex.org/W3140968660","https://openalex.org/W4285053132","https://openalex.org/W4297749952","https://openalex.org/W6636827147","https://openalex.org/W6769507345"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"obtain":[4],"fundamental":[5],"${\\mathcal{L}_p}$":[6],"bounds":[7,40,59],"in":[8,45],"sequential":[9],"prediction":[10],"and":[11,36],"recursive":[12],"algorithms":[13],"via":[14],"an":[15,61],"entropic":[16,28],"analysis.":[17],"Both":[18],"classes":[19],"of":[20,30],"problems":[21],"are":[22],"examined":[23],"by":[24],"investigating":[25],"the":[26,31,37,53,57],"underlying":[27],"relationships":[29],"data":[32],"and/or":[33],"noises":[34],"involved,":[35],"derived":[38],"lower":[39],"may":[41],"all":[42],"be":[43],"quantified":[44],"a":[46],"conditional":[47],"entropy":[48],"characterization.":[49],"We":[50],"also":[51],"study":[52],"conditions":[54],"to":[55],"achieve":[56],"generic":[58],"from":[60],"innovations\u2019":[62],"viewpoint.":[63]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}