FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1980147176> ?p ?o ?g. }

• W1980147176 abstract "We provide a novel algorithm to approximately factor large matrices with millions of rows, millions of columns, and billions of nonzero elements. Our approach rests on stochastic gradient descent (SGD), an iterative stochastic optimization algorithm. We first develop a novel stratified SGD variant (SSGD) that applies to general loss-minimization problems in which the loss function can be expressed as a weighted sum of stratum losses. We establish sufficient conditions for convergence of SSGD using results from stochastic approximation theory and regenerative process theory. We then specialize SSGD to obtain a new matrix-factorization algorithm, called DSGD, that can be fully distributed and run on web-scale datasets using, e.g., MapReduce. DSGD can handle a wide variety of matrix factorizations. We describe the practical techniques used to optimize performance in our DSGD implementation. Experiments suggest that DSGD converges significantly faster and has better scalability properties than alternative algorithms." @default.
• W1980147176 created "2016-06-24" @default.
• W1980147176 creator A5041227178 @default.
• W1980147176 creator A5048704801 @default.
• W1980147176 creator A5077651658 @default.
• W1980147176 creator A5081408444 @default.
• W1980147176 date "2011-01-01" @default.
• W1980147176 modified "2023-10-14" @default.
• W1980147176 title "Large-scale matrix factorization with distributed stochastic gradient descent" @default.
• W1980147176 cites W1499021337 @default.
• W1980147176 cites W1506806321 @default.
• W1980147176 cites W1511814458 @default.
• W1980147176 cites W1580334350 @default.
• W1980147176 cites W1612003148 @default.
• W1980147176 cites W1663973292 @default.
• W1980147176 cites W1902027874 @default.
• W1980147176 cites W1914599625 @default.
• W1980147176 cites W1981121741 @default.
• W1980147176 cites W2000359198 @default.
• W1980147176 cites W2010279913 @default.
• W1980147176 cites W2013373704 @default.
• W1980147176 cites W2049455633 @default.
• W1980147176 cites W2054141820 @default.
• W1980147176 cites W2105767123 @default.
• W1980147176 cites W2106771705 @default.
• W1980147176 cites W2107743791 @default.
• W1980147176 cites W2113651538 @default.
• W1980147176 cites W2123427850 @default.
• W1980147176 cites W2128005148 @default.
• W1980147176 cites W2135029798 @default.
• W1980147176 cites W2138243089 @default.
• W1980147176 cites W2138302120 @default.
• W1980147176 cites W2143822352 @default.
• W1980147176 cites W2144839971 @default.
• W1980147176 cites W2153622543 @default.
• W1980147176 cites W2166706236 @default.
• W1980147176 cites W2173213060 @default.
• W1980147176 cites W2189465200 @default.
• W1980147176 cites W2311729496 @default.
• W1980147176 cites W2341535507 @default.
• W1980147176 cites W2400220933 @default.
• W1980147176 cites W242065599 @default.
• W1980147176 cites W2799244951 @default.
• W1980147176 cites W2951781666 @default.
• W1980147176 cites W48643329 @default.
• W1980147176 cites W995630646 @default.
• W1980147176 doi "https://doi.org/10.1145/2020408.2020426" @default.
• W1980147176 hasPublicationYear "2011" @default.
• W1980147176 type Work @default.
• W1980147176 sameAs 1980147176 @default.
• W1980147176 citedByCount "515" @default.
• W1980147176 countsByYear W19801471762012 @default.
• W1980147176 countsByYear W19801471762013 @default.
• W1980147176 countsByYear W19801471762014 @default.
• W1980147176 countsByYear W19801471762015 @default.
• W1980147176 countsByYear W19801471762016 @default.
• W1980147176 countsByYear W19801471762017 @default.
• W1980147176 countsByYear W19801471762018 @default.
• W1980147176 countsByYear W19801471762019 @default.
• W1980147176 countsByYear W19801471762020 @default.
• W1980147176 countsByYear W19801471762021 @default.
• W1980147176 countsByYear W19801471762022 @default.
• W1980147176 countsByYear W19801471762023 @default.
• W1980147176 crossrefType "proceedings-article" @default.
• W1980147176 hasAuthorship W1980147176A5041227178 @default.
• W1980147176 hasAuthorship W1980147176A5048704801 @default.
• W1980147176 hasAuthorship W1980147176A5077651658 @default.
• W1980147176 hasAuthorship W1980147176A5081408444 @default.
• W1980147176 hasConcept C106487976 @default.
• W1980147176 hasConcept C11413529 @default.
• W1980147176 hasConcept C121332964 @default.
• W1980147176 hasConcept C126255220 @default.
• W1980147176 hasConcept C154945302 @default.
• W1980147176 hasConcept C158693339 @default.
• W1980147176 hasConcept C159985019 @default.
• W1980147176 hasConcept C162324750 @default.
• W1980147176 hasConcept C187834632 @default.
• W1980147176 hasConcept C192562407 @default.
• W1980147176 hasConcept C206688291 @default.
• W1980147176 hasConcept C2777303404 @default.
• W1980147176 hasConcept C33923547 @default.
• W1980147176 hasConcept C41008148 @default.
• W1980147176 hasConcept C42355184 @default.
• W1980147176 hasConcept C48044578 @default.
• W1980147176 hasConcept C50522688 @default.
• W1980147176 hasConcept C50644808 @default.
• W1980147176 hasConcept C62520636 @default.
• W1980147176 hasConcept C77088390 @default.
• W1980147176 hasConceptScore W1980147176C106487976 @default.
• W1980147176 hasConceptScore W1980147176C11413529 @default.
• W1980147176 hasConceptScore W1980147176C121332964 @default.
• W1980147176 hasConceptScore W1980147176C126255220 @default.
• W1980147176 hasConceptScore W1980147176C154945302 @default.
• W1980147176 hasConceptScore W1980147176C158693339 @default.
• W1980147176 hasConceptScore W1980147176C159985019 @default.
• W1980147176 hasConceptScore W1980147176C162324750 @default.
• W1980147176 hasConceptScore W1980147176C187834632 @default.
• W1980147176 hasConceptScore W1980147176C192562407 @default.
• W1980147176 hasConceptScore W1980147176C206688291 @default.
• W1980147176 hasConceptScore W1980147176C2777303404 @default.

• next