5 datasets found

The dataset used in the paper is a stochastic compositional optimization problem, which is a type of machine learning task. The dataset is not explicitly described, but it is...

The dataset used in the paper is a set of samples from a portfolio optimization problem. The dataset is used to test the performance of different methods for stochastic...

This dataset is used to test the robustness of watermarking methods against adaptive attacks.

The dataset used in the paper is a stochastic variant of the Frank-Wolfe method for non-convex optimization problems.

The Adam dataset is a dataset used for training Adam models.