Fundamental Benefit of Alternating Uptades in Minimax Optimization (ICML 2024)

Paper: https://arxiv.org/abs/2402.10475

• gan/ : Implementation of WGAN-GP with Alex-GDA (supporting datasets: CIFAR10, LSUN Bedroom 64x64, MNIST, & CelebA (not tested))
• quadratic-extensive/ : Comparative analysis of minimax optimization algorithms on strongly-convex-strongly-concave quadratic

Citation

@inproceedings{lee2024fundamental,
    title={Fundamental Benefit of Alternating Uptades in Minimax Optimization},
    author={Jaewook Lee and Hanseul Cho and Chulhee Yun},
    booktitle={Proceedings of the 41st International Conference on Machine Learning},
    year={2024},
    volume={235},
    series={Proceedings of Machine Learning Research},
    pages={26439--26514},
    month={21--27 Jul},
    publisher={PMLR},
    pdf={https://raw.githubusercontent.com/mlresearch/v235/main/assets/lee24e/lee24e.pdf},
    url={https://proceedings.mlr.press/v235/lee24e.html},
    editor={Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix}
}