Content tagged with variational inequalities

• [W8] Explicit second-order min-max optimization methods with optimal convergence guarantees
• [J43] The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness
• [J34] Minibatch forward-backward-forward methods for solving stochastic variational inequalities
• [C71] Sifting through the noise: Universal first-order methods for stochastic variational inequalities
• [C65] The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalities
• [C61] Adaptive extra-gradient methods for min-max optimization and games
• [C57] Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling
• [C50] On the convergence of single-call stochastic extra-gradient methods
• [C49] An adaptive mirror-prox algorithm for variational inequalities with singular operators
• [C48] Convergent noisy forward-backward-forward algorithms in non-monotone variational inequalities
• [C44] Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
• [J26] Stochastic mirror descent dynamics and their convergence in monotone variational inequalities
• [C39] On the convergence of stochastic forward-backward-forward algorithms with variance reduction