Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287331368> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4287331368 abstract "This paper describes a general-purpose extension of max-value entropy search, a popular approach for Bayesian Optimisation (BO). A novel approximation is proposed for the information gain -- an information-theoretic quantity central to solving a range of BO problems, including noisy, multi-fidelity and batch optimisations across both continuous and highly-structured discrete spaces. Previously, these problems have been tackled separately within information-theoretic BO, each requiring a different sophisticated approximation scheme, except for batch BO, for which no computationally-lightweight information-theoretic approach has previously been proposed. GIBBON (General-purpose Information-Based Bayesian OptimisatioN) provides a single principled framework suitable for all the above, out-performing existing approaches whilst incurring substantially lower computational overheads. In addition, GIBBON does not require the problem's search space to be Euclidean and so is the first high-performance yet computationally light-weight acquisition function that supports batch BO over general highly structured input spaces like molecular search and gene design. Moreover, our principled derivation of GIBBON yields a natural interpretation of a popular batch BO heuristic based on determinantal point processes. Finally, we analyse GIBBON across a suite of synthetic benchmark tasks, a molecular search loop, and as part of a challenging batch multi-fidelity framework for problems with controllable experimental noise." @default.
- W4287331368 created "2022-07-25" @default.
- W4287331368 creator A5010486867 @default.
- W4287331368 creator A5040706665 @default.
- W4287331368 creator A5049399811 @default.
- W4287331368 creator A5058785189 @default.
- W4287331368 date "2021-02-05" @default.
- W4287331368 modified "2023-09-26" @default.
- W4287331368 title "GIBBON: General-purpose Information-Based Bayesian OptimisatioN" @default.
- W4287331368 doi "https://doi.org/10.48550/arxiv.2102.03324" @default.
- W4287331368 hasPublicationYear "2021" @default.
- W4287331368 type Work @default.
- W4287331368 citedByCount "0" @default.
- W4287331368 crossrefType "posted-content" @default.
- W4287331368 hasAuthorship W4287331368A5010486867 @default.
- W4287331368 hasAuthorship W4287331368A5040706665 @default.
- W4287331368 hasAuthorship W4287331368A5049399811 @default.
- W4287331368 hasAuthorship W4287331368A5058785189 @default.
- W4287331368 hasBestOaLocation W42873313681 @default.
- W4287331368 hasConcept C107673813 @default.
- W4287331368 hasConcept C11413529 @default.
- W4287331368 hasConcept C126255220 @default.
- W4287331368 hasConcept C13280743 @default.
- W4287331368 hasConcept C154945302 @default.
- W4287331368 hasConcept C159985019 @default.
- W4287331368 hasConcept C166957645 @default.
- W4287331368 hasConcept C173801870 @default.
- W4287331368 hasConcept C185798385 @default.
- W4287331368 hasConcept C192562407 @default.
- W4287331368 hasConcept C204323151 @default.
- W4287331368 hasConcept C205649164 @default.
- W4287331368 hasConcept C33923547 @default.
- W4287331368 hasConcept C41008148 @default.
- W4287331368 hasConcept C79581498 @default.
- W4287331368 hasConcept C80444323 @default.
- W4287331368 hasConcept C95457728 @default.
- W4287331368 hasConceptScore W4287331368C107673813 @default.
- W4287331368 hasConceptScore W4287331368C11413529 @default.
- W4287331368 hasConceptScore W4287331368C126255220 @default.
- W4287331368 hasConceptScore W4287331368C13280743 @default.
- W4287331368 hasConceptScore W4287331368C154945302 @default.
- W4287331368 hasConceptScore W4287331368C159985019 @default.
- W4287331368 hasConceptScore W4287331368C166957645 @default.
- W4287331368 hasConceptScore W4287331368C173801870 @default.
- W4287331368 hasConceptScore W4287331368C185798385 @default.
- W4287331368 hasConceptScore W4287331368C192562407 @default.
- W4287331368 hasConceptScore W4287331368C204323151 @default.
- W4287331368 hasConceptScore W4287331368C205649164 @default.
- W4287331368 hasConceptScore W4287331368C33923547 @default.
- W4287331368 hasConceptScore W4287331368C41008148 @default.
- W4287331368 hasConceptScore W4287331368C79581498 @default.
- W4287331368 hasConceptScore W4287331368C80444323 @default.
- W4287331368 hasConceptScore W4287331368C95457728 @default.
- W4287331368 hasLocation W42873313681 @default.
- W4287331368 hasLocation W42873313682 @default.
- W4287331368 hasOpenAccess W4287331368 @default.
- W4287331368 hasPrimaryLocation W42873313681 @default.
- W4287331368 hasRelatedWork W1485630101 @default.
- W4287331368 hasRelatedWork W1985012061 @default.
- W4287331368 hasRelatedWork W2066542988 @default.
- W4287331368 hasRelatedWork W2093683727 @default.
- W4287331368 hasRelatedWork W2106556139 @default.
- W4287331368 hasRelatedWork W2159757177 @default.
- W4287331368 hasRelatedWork W2207002589 @default.
- W4287331368 hasRelatedWork W3111453649 @default.
- W4287331368 hasRelatedWork W4321011818 @default.
- W4287331368 hasRelatedWork W802275573 @default.
- W4287331368 isParatext "false" @default.
- W4287331368 isRetracted "false" @default.
- W4287331368 workType "article" @default.