Fine-grained generalization analysis of vector-valued learning

Fine-grained generalization analysis of vector-valued learning

Many fundamental machine learning tasks can be formulated as a problem of learning with vector-valued functions, where we learn multiple scalar-valued functions together. Although there is some generalization analysis on different specific algorithms under the empirical risk minimization principle,...

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Main Authors:	WU, Liang, LEDENT, Antoine, LEI, Yunwen, KLOFT, Marius
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2021
主題:	Statistical Learning Theory Multi-label Learning Stochastic Gradient Descent Artificial Intelligence and Robotics Theory and Algorithms
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/7203 https://ink.library.smu.edu.sg/context/sis_research/article/8206/viewcontent/vector_val.pdf
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