Same-sample stochastic extragradient requires uniform samplewise Lipschitzness and can diverge almost surely under step-sizes that guarantee convergence for independent-sample extragradient.
Beyond the golden ratio for variational inequality algorithms
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.OC 1years
2026 1verdicts
ACCEPT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities
Same-sample stochastic extragradient requires uniform samplewise Lipschitzness and can diverge almost surely under step-sizes that guarantee convergence for independent-sample extragradient.