FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367676999> ?p ?o ?g. }

• W4367676999 abstract "Solving Rank Constrained Least Squares via Recursive Importance Sketching In statistics and machine learning, we sometimes run into the rank-constrained least squares problems, for which we need to find the best low-rank fit between sets of data, such as trying to figure out what factors are affecting the data, filling in missing information, or finding connections between different sets of data. This paper introduces a new method for solving this problem called the recursive importance sketching algorithm (RISRO), in which the central idea is to break the problem down into smaller, easier parts using a unique technique called “recursive importance sketching.” This new method is not only easy to use, but it is also very efficient and gives accurate results. We prove that RISRO converges in a local quadratic-linear and quadratic rate under some mild conditions. Simulation studies also demonstrate the superior performance of RISRO." @default.
• W4367676999 created "2023-05-03" @default.
• W4367676999 creator A5016475334 @default.
• W4367676999 creator A5025435311 @default.
• W4367676999 creator A5048735624 @default.
• W4367676999 creator A5058301274 @default.
• W4367676999 date "2023-05-02" @default.
• W4367676999 modified "2023-10-01" @default.
• W4367676999 title "Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence" @default.
• W4367676999 cites W1677069601 @default.
• W4367676999 cites W1967357291 @default.
• W4367676999 cites W2000150201 @default.
• W4367676999 cites W2000345836 @default.
• W4367676999 cites W2001801912 @default.
• W4367676999 cites W2007593159 @default.
• W4367676999 cites W2015418199 @default.
• W4367676999 cites W2015911499 @default.
• W4367676999 cites W2037253724 @default.
• W4367676999 cites W2042182457 @default.
• W4367676999 cites W2055883125 @default.
• W4367676999 cites W2058078260 @default.
• W4367676999 cites W2060204507 @default.
• W4367676999 cites W2060308631 @default.
• W4367676999 cites W2077430220 @default.
• W4367676999 cites W2078397124 @default.
• W4367676999 cites W2085013758 @default.
• W4367676999 cites W2098760944 @default.
• W4367676999 cites W2118550318 @default.
• W4367676999 cites W2133105246 @default.
• W4367676999 cites W2134332047 @default.
• W4367676999 cites W2140867429 @default.
• W4367676999 cites W2143075842 @default.
• W4367676999 cites W2145080587 @default.
• W4367676999 cites W2162451874 @default.
• W4367676999 cites W2268674159 @default.
• W4367676999 cites W2277129572 @default.
• W4367676999 cites W2479365550 @default.
• W4367676999 cites W2541805425 @default.
• W4367676999 cites W2542482481 @default.
• W4367676999 cites W2566608758 @default.
• W4367676999 cites W2580753685 @default.
• W4367676999 cites W2592246480 @default.
• W4367676999 cites W2757162727 @default.
• W4367676999 cites W2768927505 @default.
• W4367676999 cites W2773306503 @default.
• W4367676999 cites W2789612570 @default.
• W4367676999 cites W2892058114 @default.
• W4367676999 cites W2962769133 @default.
• W4367676999 cites W2962771824 @default.
• W4367676999 cites W2963060476 @default.
• W4367676999 cites W2963685382 @default.
• W4367676999 cites W2963731874 @default.
• W4367676999 cites W2963945345 @default.
• W4367676999 cites W2964014592 @default.
• W4367676999 cites W2964015997 @default.
• W4367676999 cites W2964146881 @default.
• W4367676999 cites W2964249688 @default.
• W4367676999 cites W2964262188 @default.
• W4367676999 cites W2964317091 @default.
• W4367676999 cites W2969215180 @default.
• W4367676999 cites W3004471367 @default.
• W4367676999 cites W3007343725 @default.
• W4367676999 cites W3033283747 @default.
• W4367676999 cites W3092363548 @default.
• W4367676999 cites W3098494111 @default.
• W4367676999 cites W3102206315 @default.
• W4367676999 cites W3112410551 @default.
• W4367676999 cites W3128709327 @default.
• W4367676999 cites W4205293427 @default.
• W4367676999 cites W4231570791 @default.
• W4367676999 doi "https://doi.org/10.1287/opre.2023.2445" @default.
• W4367676999 hasPublicationYear "2023" @default.
• W4367676999 type Work @default.
• W4367676999 citedByCount "0" @default.
• W4367676999 crossrefType "journal-article" @default.
• W4367676999 hasAuthorship W4367676999A5016475334 @default.
• W4367676999 hasAuthorship W4367676999A5025435311 @default.
• W4367676999 hasAuthorship W4367676999A5048735624 @default.
• W4367676999 hasAuthorship W4367676999A5058301274 @default.
• W4367676999 hasConcept C10138342 @default.
• W4367676999 hasConcept C102248274 @default.
• W4367676999 hasConcept C105795698 @default.
• W4367676999 hasConcept C11413529 @default.
• W4367676999 hasConcept C114614502 @default.
• W4367676999 hasConcept C126255220 @default.
• W4367676999 hasConcept C129844170 @default.
• W4367676999 hasConcept C145249878 @default.
• W4367676999 hasConcept C162324750 @default.
• W4367676999 hasConcept C164226766 @default.
• W4367676999 hasConcept C182306322 @default.
• W4367676999 hasConcept C185429906 @default.
• W4367676999 hasConcept C2524010 @default.
• W4367676999 hasConcept C26517878 @default.
• W4367676999 hasConcept C2777303404 @default.
• W4367676999 hasConcept C33923547 @default.
• W4367676999 hasConcept C38652104 @default.
• W4367676999 hasConcept C41008148 @default.
• W4367676999 hasConcept C50522688 @default.
• W4367676999 hasConcept C57869625 @default.
• W4367676999 hasConcept C9936470 @default.

• next