{"id":"https://openalex.org/W4386075226","doi":"https://doi.org/10.1109/isit54713.2023.10206452","title":"Risk-Averse Combinatorial Semi-Bandits","display_name":"Risk-Averse Combinatorial Semi-Bandits","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386075226","doi":"https://doi.org/10.1109/isit54713.2023.10206452"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206452","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://mpra.ub.uni-muenchen.de/83273/1/MPRA_paper_83273.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017304883","display_name":"Ranga Shaarad Ayyagari","orcid":null},"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":"Ranga Shaarad Ayyagari","raw_affiliation_strings":["Indian Institute of Science,Bengaluru,India","Indian Institute of Science, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Bengaluru,India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010292297","display_name":"Ambedkar Dukkipati","orcid":"https://orcid.org/0000-0002-6352-6283"},"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":"Ambedkar Dukkipati","raw_affiliation_strings":["Indian Institute of Science,Bengaluru,India","Indian Institute of Science, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Bengaluru,India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017304883"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.2509,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58599467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1472","last_page":"1477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9818999767303467,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6418609619140625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3323262929916382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6418609619140625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3323262929916382}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit54713.2023.10206452","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai::83273","is_oa":true,"landing_page_url":null,"pdf_url":"https://mpra.ub.uni-muenchen.de/83273/1/MPRA_paper_83273.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai::83273","is_oa":true,"landing_page_url":null,"pdf_url":"https://mpra.ub.uni-muenchen.de/83273/1/MPRA_paper_83273.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386075226.pdf","grobid_xml":"https://content.openalex.org/works/W4386075226.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W35251828","https://openalex.org/W1560153690","https://openalex.org/W1578264931","https://openalex.org/W2020254732","https://openalex.org/W2093562354","https://openalex.org/W2125724988","https://openalex.org/W2164831377","https://openalex.org/W2168405694","https://openalex.org/W2217134819","https://openalex.org/W2281712483","https://openalex.org/W2542446008","https://openalex.org/W2605019791","https://openalex.org/W2805103824","https://openalex.org/W2946964102","https://openalex.org/W2963860006","https://openalex.org/W3189612195","https://openalex.org/W4212774754","https://openalex.org/W4288358464","https://openalex.org/W4300716793","https://openalex.org/W6601392155","https://openalex.org/W6634623812","https://openalex.org/W6684171789","https://openalex.org/W6684381734","https://openalex.org/W6695542050","https://openalex.org/W6729106829","https://openalex.org/W6751653207","https://openalex.org/W6762481771","https://openalex.org/W6763452204"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0],"many":[1],"practical":[2],"sequential":[3,23],"decision-making":[4,24],"scenarios,":[5],"we":[6],"often":[7],"face":[8],"the":[9,36,41,45,58,61,107,118,123,126,150,159],"problem":[10,59,95],"of":[11,15,35,57,69,80,129],"choosing":[12],"a":[13,30,48,67,73,94,111],"set":[14,68],"options":[16],"rather":[17],"than":[18],"just":[19],"one":[20],"option.":[21],"While":[22],"problems":[25,157],"have":[26],"been":[27],"studied":[28],"under":[29],"multi-armed":[31,75],"bandit":[32],"setting,":[33],"much":[34],"related":[37],"literature":[38],"deals":[39],"with":[40,96],"simplest":[42],"case":[43],"where":[44,60],"agent":[46,124],"chooses":[47],"single":[49],"arm":[50,133],"at":[51],"each":[52],"time":[53],"step.":[54],"The":[55,77],"variant":[56],"agent\u2019s":[62],"task":[63],"is":[64,71,83],"to":[65,84],"choose":[66],"arms":[70],"called":[72],"combinatorial":[74,155],"bandit.":[76],"main":[78],"aim":[79],"this":[81],"paper":[82],"study":[85],"risk-aware":[86,160],"algorithms":[87,104,139],"for":[88,125],"these":[89,138],"problems.":[90],"We":[91,135,144],"consider":[92],"such":[93],"stochastic":[97],"rewards":[98,120],"and":[99,102,131,140],"semi-bandit":[100,156],"feedback":[101],"propose":[103],"that":[105,114,146],"maximize":[106],"Conditional":[108],"Value-at-Risk":[109],"(CVaR),":[110],"risk":[112],"measure":[113],"takes":[115],"into":[116,154],"account":[117],"worst-case":[119],"achieved":[121],"by":[122],"two":[127],"cases":[128],"Gaussian":[130],"bounded":[132],"rewards.":[134],"further":[136],"analyze":[137],"provide":[141,149],"regret":[142],"bounds.":[143],"believe":[145],"our":[147,165],"results":[148],"first":[151],"theoretical":[152,166],"insights":[153],"in":[158],"case.":[161],"Numerical":[162],"experiments":[163],"corroborate":[164],"findings.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
