FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891756082> ?p ?o ?g. }

• W2891756082 endingPage "4469" @default.
• W2891756082 startingPage "4459" @default.
• W2891756082 abstract "Strongly Rayleigh (SR) measures are discrete probability distributions over the subsets of a ground set. They enjoy strong negative dependence properties, as a result of which they assign higher probability to subsets of diverse elements. We introduce in this paper Exponentiated Strongly Rayleigh (ESR) measures, which sharpen (or smoothen) the negative dependence property of SR measures via a single parameter (the exponent) that can intuitively understood as an inverse temperature. We develop efficient MCMC procedures for approximate sampling from ESRs, and obtain explicit mixing time bounds for two concrete instances: exponentiated versions of Determinantal Point Processes and Dual Volume Sampling. We illustrate some of the potential of ESRs, by applying them to a few machine learning tasks; empirical results confirm that beyond their theoretical appeal, ESR-based models hold significant promise for these tasks." @default.
• W2891756082 created "2018-09-27" @default.
• W2891756082 creator A5047711237 @default.
• W2891756082 creator A5058767558 @default.
• W2891756082 creator A5085699861 @default.
• W2891756082 date "2018-01-01" @default.
• W2891756082 modified "2023-10-18" @default.
• W2891756082 title "Exponentiated Strongly Rayleigh Distributions" @default.
• W2891756082 cites W1492009297 @default.
• W2891756082 cites W1530232915 @default.
• W2891756082 cites W1976418263 @default.
• W2891756082 cites W2008095352 @default.
• W2891756082 cites W2041184937 @default.
• W2891756082 cites W2056760934 @default.
• W2891756082 cites W2065281378 @default.
• W2891756082 cites W2080051189 @default.
• W2891756082 cites W2090948651 @default.
• W2891756082 cites W2093223772 @default.
• W2891756082 cites W2093265547 @default.
• W2891756082 cites W2111094216 @default.
• W2891756082 cites W2112545207 @default.
• W2891756082 cites W2129355511 @default.
• W2891756082 cites W2131824593 @default.
• W2891756082 cites W2135194391 @default.
• W2891756082 cites W2138309709 @default.
• W2891756082 cites W2141372707 @default.
• W2891756082 cites W2144182447 @default.
• W2891756082 cites W2147716762 @default.
• W2891756082 cites W2148195034 @default.
• W2891756082 cites W2150907712 @default.
• W2891756082 cites W2153412625 @default.
• W2891756082 cites W2185135628 @default.
• W2891756082 cites W2185386567 @default.
• W2891756082 cites W2307132432 @default.
• W2891756082 cites W2336788611 @default.
• W2891756082 cites W2337344967 @default.
• W2891756082 cites W2549152635 @default.
• W2891756082 cites W2593579637 @default.
• W2891756082 cites W2618973229 @default.
• W2891756082 cites W2619262269 @default.
• W2891756082 cites W2728264528 @default.
• W2891756082 cites W2890912593 @default.
• W2891756082 cites W3103014337 @default.
• W2891756082 cites W585006759 @default.
• W2891756082 cites W76057623 @default.
• W2891756082 cites W2584882700 @default.
• W2891756082 hasPublicationYear "2018" @default.
• W2891756082 type Work @default.
• W2891756082 sameAs 2891756082 @default.
• W2891756082 citedByCount "6" @default.
• W2891756082 countsByYear W28917560822019 @default.
• W2891756082 countsByYear W28917560822020 @default.
• W2891756082 countsByYear W28917560822021 @default.
• W2891756082 countsByYear W28917560822022 @default.
• W2891756082 crossrefType "proceedings-article" @default.
• W2891756082 hasAuthorship W2891756082A5047711237 @default.
• W2891756082 hasAuthorship W2891756082A5058767558 @default.
• W2891756082 hasAuthorship W2891756082A5085699861 @default.
• W2891756082 hasConcept C105795698 @default.
• W2891756082 hasConcept C106131492 @default.
• W2891756082 hasConcept C111472728 @default.
• W2891756082 hasConcept C121332964 @default.
• W2891756082 hasConcept C121864883 @default.
• W2891756082 hasConcept C126255220 @default.
• W2891756082 hasConcept C138885662 @default.
• W2891756082 hasConcept C140779682 @default.
• W2891756082 hasConcept C177264268 @default.
• W2891756082 hasConcept C189950617 @default.
• W2891756082 hasConcept C199360897 @default.
• W2891756082 hasConcept C207467116 @default.
• W2891756082 hasConcept C2524010 @default.
• W2891756082 hasConcept C28826006 @default.
• W2891756082 hasConcept C31972630 @default.
• W2891756082 hasConcept C33923547 @default.
• W2891756082 hasConcept C41008148 @default.
• W2891756082 hasConcept C46244369 @default.
• W2891756082 hasConcept C62520636 @default.
• W2891756082 hasConceptScore W2891756082C105795698 @default.
• W2891756082 hasConceptScore W2891756082C106131492 @default.
• W2891756082 hasConceptScore W2891756082C111472728 @default.
• W2891756082 hasConceptScore W2891756082C121332964 @default.
• W2891756082 hasConceptScore W2891756082C121864883 @default.
• W2891756082 hasConceptScore W2891756082C126255220 @default.
• W2891756082 hasConceptScore W2891756082C138885662 @default.
• W2891756082 hasConceptScore W2891756082C140779682 @default.
• W2891756082 hasConceptScore W2891756082C177264268 @default.
• W2891756082 hasConceptScore W2891756082C189950617 @default.
• W2891756082 hasConceptScore W2891756082C199360897 @default.
• W2891756082 hasConceptScore W2891756082C207467116 @default.
• W2891756082 hasConceptScore W2891756082C2524010 @default.
• W2891756082 hasConceptScore W2891756082C28826006 @default.
• W2891756082 hasConceptScore W2891756082C31972630 @default.
• W2891756082 hasConceptScore W2891756082C33923547 @default.
• W2891756082 hasConceptScore W2891756082C41008148 @default.
• W2891756082 hasConceptScore W2891756082C46244369 @default.
• W2891756082 hasConceptScore W2891756082C62520636 @default.
• W2891756082 hasLocation W28917560821 @default.
• W2891756082 hasOpenAccess W2891756082 @default.

• next