Chen Wang, Eun Kyung Lee, et al.
KubeCon EU 2024
The min-max optimization problem, also known as the , is a classical optimization problem that is also studied in the context of zero-sum games. Given a class of objective functions, the goal is to find a value for the argument that leads to a small objective value even for the worst-case function in the given class. Min-max optimization problems have recently become very popular in a wide range of signal and data processing applications, such as fair beamforming, training generative adversarial networks (GANs), and robust machine learning (ML), to just name a few.
Chen Wang, Eun Kyung Lee, et al.
KubeCon EU 2024
Buse Korkmaz, Rahul Nair, et al.
AAAI 2025
Revanth Reddy, Jaehyeok Doo, et al.
EMNLP 2024
Gaetano Rossiello, Nhan Pham, et al.
ICLR 2025