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Verification and Validation of Convex Optimization Algorithms for Model Predi...
The dataset used in this paper is a convex optimization algorithm, specifically the Ellipsoid method, for model predictive control. -
Strongly Adaptive Algorithm for Convex and Smooth Functions
The dataset used in this paper is a strongly adaptive algorithm for convex and smooth functions. -
Wasserstein barycenter problem
The dataset used in the paper is the Wasserstein barycenter problem, which is a convex optimization problem. The authors used this problem to compare the stochastic... -
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods
Synthetic data, 2D mixture of Gaussian data, MNIST dataset, CIFAR-10 dataset -
Enhanced Low-Rank Matrix Approximation
This letter proposes to estimate low-rank matrices by formulating a convex optimization problem with non-convex regularization. We employ parameterized non-convex penalty...
