A new analytical approach to consistency and overfitting in regularized empirical risk minimization
نویسندگان
چکیده
منابع مشابه
A New Analytical Approach to Consistency and Overfitting in Regularized Empirical Risk Minimization
This work considers the problem of binary classification: given training data x1, . . . ,xn from a certain population, together with associated labels y1, . . . ,yn ∈ {0, 1}, determine the best label for an element x not among the training data. More specifically, this work considers a variant of the regularized empirical risk functional which is defined intrinsically to the observed data and d...
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15 صفحه اولDistributed Block-diagonal Approximation Methods for Regularized Empirical Risk Minimization
Designing distributed algorithms for empirical risk minimization (ERM) has become an active research topic in recent years because of the practical need to deal with the huge volume of data. In this paper, we propose a general framework for training an ERM model via solving its dual problem in parallel over multiple machines. Our method provides a versatile approach for many large-scale machine...
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ژورنال
عنوان ژورنال: European Journal of Applied Mathematics
سال: 2017
ISSN: 0956-7925,1469-4425
DOI: 10.1017/s0956792517000201