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Stability and Generalization of Stochastic Compositional Gradient Descent Alg...
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... -
Portfolio Optimization
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... -
Adam: A method for stochastic optimization
This dataset is used to test the robustness of watermarking methods against adaptive attacks. -
Stochastic Frank-Wolfe Methods for Non-Convex Optimization
The dataset used in the paper is a stochastic variant of the Frank-Wolfe method for non-convex optimization problems.
