{"id":"https://openalex.org/W4413679297","doi":"https://doi.org/10.23919/fusion65864.2025.11124101","title":"Incorporating the ChEES Criterion Into Sequential Monte Carlo Samplers","display_name":"Incorporating the ChEES Criterion Into Sequential Monte Carlo Samplers","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4413679297","doi":"https://doi.org/10.23919/fusion65864.2025.11124101"},"language":"en","primary_location":{"id":"doi:10.23919/fusion65864.2025.11124101","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11124101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008594180","display_name":"Andrew R. Millard","orcid":"https://orcid.org/0000-0002-8290-7428"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew Millard","raw_affiliation_strings":["University of Liverpool,Dept. of EEE,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool,Dept. of EEE,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007595974","display_name":"Joshua Murphy","orcid":"https://orcid.org/0000-0001-9085-5755"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joshua Murphy","raw_affiliation_strings":["University of Liverpool,Dept. of EEE,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool,Dept. of EEE,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014503541","display_name":"Daniel R. Frisch","orcid":"https://orcid.org/0000-0002-7645-6405"},"institutions":[{"id":"https://openalex.org/I4210113034","display_name":"Sensor Electronics (United States)","ror":"https://ror.org/01ynheb59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113034"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Frisch","raw_affiliation_strings":["Karlsruhe Institute of Technology,Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology,Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Germany","institution_ids":["https://openalex.org/I4210113034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083636287","display_name":"Simon Maskell","orcid":"https://orcid.org/0000-0003-1917-2913"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Maskell","raw_affiliation_strings":["University of Liverpool,Dept. of EEE,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool,Dept. of EEE,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0225,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95352513,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.04410000145435333,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.04410000145435333,"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/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.04050000011920929,"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.7916749715805054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6224261522293091},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22174754738807678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1724664866924286}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7916749715805054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6224261522293091},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22174754738807678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1724664866924286}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion65864.2025.11124101","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11124101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Information Fusion (FUSION)","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":24,"referenced_works":["https://openalex.org/W32980360","https://openalex.org/W1567512734","https://openalex.org/W1963568208","https://openalex.org/W2013399084","https://openalex.org/W2017001763","https://openalex.org/W2083253722","https://openalex.org/W2098394615","https://openalex.org/W2130363011","https://openalex.org/W2135194391","https://openalex.org/W2138309709","https://openalex.org/W2147357149","https://openalex.org/W2169713291","https://openalex.org/W2551841786","https://openalex.org/W2577537660","https://openalex.org/W2954040150","https://openalex.org/W2964036097","https://openalex.org/W2997206660","https://openalex.org/W3019156444","https://openalex.org/W3046573566","https://openalex.org/W3215540479","https://openalex.org/W4390044799","https://openalex.org/W4394586038","https://openalex.org/W4403278291","https://openalex.org/W4405993429"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Markov":[0],"chain":[1],"Monte":[2,26,106],"Carlo":[3,27,107],"(MCMC)":[4],"methods":[5],"are":[6,41,110,123],"a":[7,49,149,163],"powerful":[8],"but":[9,61,98,157],"computationally":[10],"expensive":[11],"way":[12],"of":[13,35,51,81,141,165],"performing":[14],"nonparametric":[15],"Bayesian":[16],"inference.":[17],"MCMC":[18],"proposals":[19],"which":[20,53,114],"utilise":[21],"gradients,":[22],"such":[23],"as":[24,148],"Hamiltonian":[25],"(HMC),":[28],"can":[29],"better":[30],"explore":[31],"the":[32,38,79,82,120],"parameter":[33],"space":[34],"interest":[36],"if":[37],"additional":[39,136],"hyperparameters":[40],"chosen":[42],"well.":[43],"The":[44],"No-U-Turn":[45],"Sampler":[46],"(NUTS)":[47],"is":[48,54,62,67],"variant":[50],"HMC":[52,85],"extremely":[55],"effective":[56],"at":[57],"selecting":[58],"these":[59],"hyper-parameters":[60],"slow":[63],"to":[64,70,75,91,126],"run":[65,92,131],"and":[66,128,154],"not":[68,89],"suited":[69],"GPU":[71,97],"architectures.":[72],"An":[73],"alternative":[74],"NUTS,":[76],"Change":[77],"in":[78,138],"Estimator":[80],"Expected":[83],"Square":[84],"(ChEES-HMC)":[86,147],"was":[87],"shown":[88],"only":[90],"faster":[93,158],"than":[94,160],"NUTS":[95,161],"on":[96,132,162],"also":[99],"sample":[100],"from":[101,119],"posteriors":[102],"more":[103],"efficiently.":[104],"Sequential":[105],"(SMC)":[108],"samplers":[109,153],"another":[111],"sampling":[112],"method":[113],"instead":[115],"output":[116],"weighted":[117],"samples":[118],"posterior.":[121],"They":[122],"very":[124],"amenable":[125],"parallelisation":[127],"therefore":[129],"being":[130],"GPUs":[133],"while":[134],"having":[135],"flexibility":[137],"their":[139],"choice":[140],"proposal":[142,150],"over":[143],"MCMC.":[144],"We":[145],"incorporate":[146],"into":[151],"SMC":[152],"demonstrate":[155],"competitive":[156],"performance":[159],"number":[164],"tasks.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}