Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366439784> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W4366439784 endingPage "118975" @default.
- W4366439784 startingPage "118975" @default.
- W4366439784 abstract "Recently, as a particle-based Bayesian inference method, Stein variational gradient descent (SVGD) has attracted much attention due to its strong approximation power and efficiency compared to traditional variational inference and Markov chain Monte Carlo sampling methods. However, the original SVGD method assumes the descent direction to be within an reproducing kernel Hilbert space (RKHS), which on one hand limits its expressive power, and on the other hand suffers from the curse of dimensionality. To address this issue, we propose to parameterize the descent direction using a flexible neural network. With this parameterization strategy, the descent direction can be possibly optimized in each step for updating the particles, such that the target distribution can be expected to be better approximated. Experiments on both synthetic and real datasets demonstrate the effectiveness and efficiency of the proposed method, especially in the high-dimensional situations, as compared with the original SVGD." @default.
- W4366439784 created "2023-04-21" @default.
- W4366439784 creator A5008147820 @default.
- W4366439784 creator A5031797208 @default.
- W4366439784 creator A5078092645 @default.
- W4366439784 creator A5091017287 @default.
- W4366439784 date "2023-08-01" @default.
- W4366439784 modified "2023-10-15" @default.
- W4366439784 title "Stein variational gradient descent with learned direction" @default.
- W4366439784 cites W2055649245 @default.
- W4366439784 cites W2103496339 @default.
- W4366439784 cites W2111698756 @default.
- W4366439784 cites W2137983211 @default.
- W4366439784 cites W2166116275 @default.
- W4366439784 cites W2166944917 @default.
- W4366439784 cites W2328111639 @default.
- W4366439784 cites W2807841289 @default.
- W4366439784 cites W2964015695 @default.
- W4366439784 cites W3101380508 @default.
- W4366439784 cites W4232613155 @default.
- W4366439784 doi "https://doi.org/10.1016/j.ins.2023.118975" @default.
- W4366439784 hasPublicationYear "2023" @default.
- W4366439784 type Work @default.
- W4366439784 citedByCount "0" @default.
- W4366439784 crossrefType "journal-article" @default.
- W4366439784 hasAuthorship W4366439784A5008147820 @default.
- W4366439784 hasAuthorship W4366439784A5031797208 @default.
- W4366439784 hasAuthorship W4366439784A5078092645 @default.
- W4366439784 hasAuthorship W4366439784A5091017287 @default.
- W4366439784 hasConcept C107673813 @default.
- W4366439784 hasConcept C111030470 @default.
- W4366439784 hasConcept C111350023 @default.
- W4366439784 hasConcept C11413529 @default.
- W4366439784 hasConcept C114614502 @default.
- W4366439784 hasConcept C121332964 @default.
- W4366439784 hasConcept C126255220 @default.
- W4366439784 hasConcept C134306372 @default.
- W4366439784 hasConcept C153258448 @default.
- W4366439784 hasConcept C153294291 @default.
- W4366439784 hasConcept C154945302 @default.
- W4366439784 hasConcept C160234255 @default.
- W4366439784 hasConcept C206688291 @default.
- W4366439784 hasConcept C2776214188 @default.
- W4366439784 hasConcept C2776637919 @default.
- W4366439784 hasConcept C28826006 @default.
- W4366439784 hasConcept C33923547 @default.
- W4366439784 hasConcept C41008148 @default.
- W4366439784 hasConcept C50644808 @default.
- W4366439784 hasConcept C62799726 @default.
- W4366439784 hasConcept C74193536 @default.
- W4366439784 hasConcept C80884492 @default.
- W4366439784 hasConceptScore W4366439784C107673813 @default.
- W4366439784 hasConceptScore W4366439784C111030470 @default.
- W4366439784 hasConceptScore W4366439784C111350023 @default.
- W4366439784 hasConceptScore W4366439784C11413529 @default.
- W4366439784 hasConceptScore W4366439784C114614502 @default.
- W4366439784 hasConceptScore W4366439784C121332964 @default.
- W4366439784 hasConceptScore W4366439784C126255220 @default.
- W4366439784 hasConceptScore W4366439784C134306372 @default.
- W4366439784 hasConceptScore W4366439784C153258448 @default.
- W4366439784 hasConceptScore W4366439784C153294291 @default.
- W4366439784 hasConceptScore W4366439784C154945302 @default.
- W4366439784 hasConceptScore W4366439784C160234255 @default.
- W4366439784 hasConceptScore W4366439784C206688291 @default.
- W4366439784 hasConceptScore W4366439784C2776214188 @default.
- W4366439784 hasConceptScore W4366439784C2776637919 @default.
- W4366439784 hasConceptScore W4366439784C28826006 @default.
- W4366439784 hasConceptScore W4366439784C33923547 @default.
- W4366439784 hasConceptScore W4366439784C41008148 @default.
- W4366439784 hasConceptScore W4366439784C50644808 @default.
- W4366439784 hasConceptScore W4366439784C62799726 @default.
- W4366439784 hasConceptScore W4366439784C74193536 @default.
- W4366439784 hasConceptScore W4366439784C80884492 @default.
- W4366439784 hasFunder F4320321001 @default.
- W4366439784 hasFunder F4320323893 @default.
- W4366439784 hasFunder F4320335777 @default.
- W4366439784 hasLocation W43664397841 @default.
- W4366439784 hasOpenAccess W4366439784 @default.
- W4366439784 hasPrimaryLocation W43664397841 @default.
- W4366439784 hasRelatedWork W2093643889 @default.
- W4366439784 hasRelatedWork W2374023116 @default.
- W4366439784 hasRelatedWork W2825557436 @default.
- W4366439784 hasRelatedWork W2896419989 @default.
- W4366439784 hasRelatedWork W2902858271 @default.
- W4366439784 hasRelatedWork W4289754220 @default.
- W4366439784 hasRelatedWork W4311165627 @default.
- W4366439784 hasRelatedWork W4366439784 @default.
- W4366439784 hasRelatedWork W4377141721 @default.
- W4366439784 hasRelatedWork W4380358855 @default.
- W4366439784 hasVolume "637" @default.
- W4366439784 isParatext "false" @default.
- W4366439784 isRetracted "false" @default.
- W4366439784 workType "article" @default.