FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2102028181> ?p ?o ?g. }

• W2102028181 endingPage "920" @default.
• W2102028181 startingPage "912" @default.
• W2102028181 abstract "The promise of Bayesian methods for big data sets has not fully been realized due to the lack of scalable computational algorithms. For massive data, it is necessary to store and process subsets on dierent machines in a distributed manner. We propose a simple, general, and highly ecient approach, which first runs a posterior sampling algorithm in parallel on dierent machines for subsets of a large data set. To combine these subset posteriors, we calculate the Wasserstein barycenter via a highly ecient linear program. The resulting estimate for the Wasserstein posterior (WASP) has an atomic form, facilitating straightforward estimation of posterior summaries of functionals of interest. The WASP approach allows posterior sampling algorithms for smaller data sets to be trivially scaled to huge data. We provide theoretical justification in terms of posterior consistency and algorithm eciency. Exam" @default.
• W2102028181 created "2016-06-24" @default.
• W2102028181 creator A5002768909 @default.
• W2102028181 creator A5003185205 @default.
• W2102028181 creator A5027059837 @default.
• W2102028181 creator A5049124418 @default.
• W2102028181 date "2015-02-21" @default.
• W2102028181 modified "2023-10-02" @default.
• W2102028181 title "WASP: Scalable Bayes via barycenters of subset posteriors" @default.
• W2102028181 cites W1532388221 @default.
• W2102028181 cites W1629559917 @default.
• W2102028181 cites W1866929664 @default.
• W2102028181 cites W1968333723 @default.
• W2102028181 cites W1978210787 @default.
• W2102028181 cites W2041517243 @default.
• W2102028181 cites W2049469158 @default.
• W2102028181 cites W2062532221 @default.
• W2102028181 cites W2145536610 @default.
• W2102028181 cites W2150582689 @default.
• W2102028181 cites W2151792436 @default.
• W2102028181 cites W2158131535 @default.
• W2102028181 cites W2161340280 @default.
• W2102028181 cites W2164278908 @default.
• W2102028181 cites W2166851633 @default.
• W2102028181 cites W2167433878 @default.
• W2102028181 cites W2168947765 @default.
• W2102028181 cites W2187741934 @default.
• W2102028181 cites W2305001871 @default.
• W2102028181 cites W2950212802 @default.
• W2102028181 cites W3123607434 @default.
• W2102028181 cites W385466589 @default.
• W2102028181 cites W62820921 @default.
• W2102028181 hasPublicationYear "2015" @default.
• W2102028181 type Work @default.
• W2102028181 sameAs 2102028181 @default.
• W2102028181 citedByCount "55" @default.
• W2102028181 countsByYear W21020281812015 @default.
• W2102028181 countsByYear W21020281812016 @default.
• W2102028181 countsByYear W21020281812017 @default.
• W2102028181 countsByYear W21020281812018 @default.
• W2102028181 countsByYear W21020281812019 @default.
• W2102028181 countsByYear W21020281812020 @default.
• W2102028181 countsByYear W21020281812021 @default.
• W2102028181 crossrefType "proceedings-article" @default.
• W2102028181 hasAuthorship W2102028181A5002768909 @default.
• W2102028181 hasAuthorship W2102028181A5003185205 @default.
• W2102028181 hasAuthorship W2102028181A5027059837 @default.
• W2102028181 hasAuthorship W2102028181A5049124418 @default.
• W2102028181 hasConcept C106131492 @default.
• W2102028181 hasConcept C107673813 @default.
• W2102028181 hasConcept C11413529 @default.
• W2102028181 hasConcept C124101348 @default.
• W2102028181 hasConcept C140779682 @default.
• W2102028181 hasConcept C154945302 @default.
• W2102028181 hasConcept C177264268 @default.
• W2102028181 hasConcept C199360897 @default.
• W2102028181 hasConcept C207201462 @default.
• W2102028181 hasConcept C2776436953 @default.
• W2102028181 hasConcept C31972630 @default.
• W2102028181 hasConcept C41008148 @default.
• W2102028181 hasConcept C48044578 @default.
• W2102028181 hasConcept C57830394 @default.
• W2102028181 hasConcept C58489278 @default.
• W2102028181 hasConcept C75684735 @default.
• W2102028181 hasConcept C77088390 @default.
• W2102028181 hasConceptScore W2102028181C106131492 @default.
• W2102028181 hasConceptScore W2102028181C107673813 @default.
• W2102028181 hasConceptScore W2102028181C11413529 @default.
• W2102028181 hasConceptScore W2102028181C124101348 @default.
• W2102028181 hasConceptScore W2102028181C140779682 @default.
• W2102028181 hasConceptScore W2102028181C154945302 @default.
• W2102028181 hasConceptScore W2102028181C177264268 @default.
• W2102028181 hasConceptScore W2102028181C199360897 @default.
• W2102028181 hasConceptScore W2102028181C207201462 @default.
• W2102028181 hasConceptScore W2102028181C2776436953 @default.
• W2102028181 hasConceptScore W2102028181C31972630 @default.
• W2102028181 hasConceptScore W2102028181C41008148 @default.
• W2102028181 hasConceptScore W2102028181C48044578 @default.
• W2102028181 hasConceptScore W2102028181C57830394 @default.
• W2102028181 hasConceptScore W2102028181C58489278 @default.
• W2102028181 hasConceptScore W2102028181C75684735 @default.
• W2102028181 hasConceptScore W2102028181C77088390 @default.
• W2102028181 hasLocation W21020281811 @default.
• W2102028181 hasOpenAccess W2102028181 @default.
• W2102028181 hasPrimaryLocation W21020281811 @default.
• W2102028181 hasRelatedWork W1585160083 @default.
• W2102028181 hasRelatedWork W1629559917 @default.
• W2102028181 hasRelatedWork W1639961155 @default.
• W2102028181 hasRelatedWork W1968333723 @default.
• W2102028181 hasRelatedWork W2009172320 @default.
• W2102028181 hasRelatedWork W2036996178 @default.
• W2102028181 hasRelatedWork W2133478409 @default.
• W2102028181 hasRelatedWork W2158131535 @default.
• W2102028181 hasRelatedWork W2166851633 @default.
• W2102028181 hasRelatedWork W2167433878 @default.
• W2102028181 hasRelatedWork W2305001871 @default.
• W2102028181 hasRelatedWork W2739748921 @default.
• W2102028181 hasRelatedWork W2793477525 @default.

• next