A metric-space theory of gradient descent-ascent flows is developed via evolution variational inequalities, yielding existence, uniqueness, and exponential convergence for Wasserstein GDA under strong convexity-concavity.
Uncertainty Quantification of the 4th Kind; Optimal Posterior Accuracy- UncertaintyTradeoffwiththeMinimumEnclosingBall
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
math.FA 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
On gradient descent-ascent flows in metric spaces
A metric-space theory of gradient descent-ascent flows is developed via evolution variational inequalities, yielding existence, uniqueness, and exponential convergence for Wasserstein GDA under strong convexity-concavity.