Rademacher complexity, named after Hans Rademacher, measures richness of a class of sets with respect to a probability distribution. |
Rademacher complexity is a more modern notion of complexity that is distribution dependent and defined for any class real-valued functions (not only ... |
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В теории вычислительного обучения сложность Радемахера, названная в честь Ганса Радемахера, измеряет богатство класса множеств относительно распределения вероятностей. Эту концепцию также можно распространить на вещественнозначные функции. Википедия (Английский язык)
Rademacher complexity is a measure of the richness of a class of real-valued functions. In this sense, it is similar to the VC dimension. |
Intuitively, the empirical Rademacher complexity RS(G) measures how well the class of functions. G correlates with randomly generated labels on the set S. The ... |
21 мая 2020 г. · Therefore, the Rademacher complexity intuitively indicates how expressive the function class is. 3 Preliminary Results. Theorem 3.1. (Scalar ... |
Abstract. We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. |
18 нояб. 2020 г. · Rademacher complexity captures the richness of a family of functions by measuring the degree to which a hypothesis set can fit random noise. |
8 июн. 2024 г. · This paper presents upper bounds for adversarial Rademacher complexity of DNNs that match the best-known upper bounds in standard settings, as ... |
This paper presents the first data-dependent generalization bounds for non-i.i.d. settings based on the notion of Rademacher complexity. Our bounds extend to ... |
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