Worst-Case Generation via Minimax Optimization in Wasserstein Space

Learn about worst-case generation through minimax optimization techniques applied in Wasserstein space in this 33-minute conference talk. Explore advanced mathematical concepts at the intersection of optimal transport theory and optimization, examining how minimax approaches can be utilized within the geometric framework of Wasserstein spaces. Discover the theoretical foundations and practical applications of these methods as presented by a researcher from Georgia Institute of Technology. Gain insights into cutting-edge developments in stochastic optimal transport, projections, and their diverse applications across various fields of mathematics and machine learning.