Program for obtaining the user equilibrium solution with Frank-Wolfe Algorithm in urban traffic assignment
-
Updated
Jan 23, 2022 - Python
Program for obtaining the user equilibrium solution with Frank-Wolfe Algorithm in urban traffic assignment
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)
Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.
Code for the paper: Wirth, E.S. and Pokutta, S., 2022, May. Conditional gradients for the approximately vanishing ideal. In International Conference on Artificial Intelligence and Statistics (pp. 2191-2209). PMLR.
Implementation of three variants of the Frank-Wolfe method for solving the Minimum Enclosing Ball problem, and application to anomaly detection.
Code for the paper Accelerated Affine-Invariant Vonvergence Rates of the Frank-Wolfe Algorithm with Open-Loop Step-Sizes
Code for the paper: [Wirth, E., Kera, H., and Pokutta, S. (2022). Approximate vanishing ideal computations at scale.](https://arxiv.org/abs/2207.01236)
Add a description, image, and links to the frank-wolfe topic page so that developers can more easily learn about it.
To associate your repository with the frank-wolfe topic, visit your repo's landing page and select "manage topics."