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Nash equilibrium problems with congestion costs and shared constraints.

, , and . CDC, page 4649-4654. IEEE, (2009)

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Convex nondifferentiable stochastic optimization: A local randomized smoothing technique., , and . ACC, page 4875-4880. IEEE, (2010)Global Resolution of Chance-Constrained Optimization Problems: Minkowski Functionals and Monotone Inclusions., , , and . CDC, page 6301-6306. IEEE, (2023)On the analysis of reflected gradient and splitting methods for monotone stochastic variational inequality problems., and . CDC, page 4510-4515. IEEE, (2016)Data-driven first-order methods for misspecified convex optimization problems: Global convergence and Rate estimates., and . CDC, page 4228-4233. IEEE, (2014)Learning in Mean-Field Games., , , and . IEEE Trans. Autom. Control., 59 (3): 629-644 (2014)Packaging Energy and Reserves Bids through Risk Penalties for Enhanced Reliability in Co-optimized Markets., , , and . HICSS, page 1915-1922. IEEE Computer Society, (2012)No-Regret Distributed Learning in Subnetwork Zero-Sum Games., , , , and . IEEE Trans. Autom. Control., 69 (10): 6620-6635 (October 2024)On Synchronous, Asynchronous, and Randomized Best-Response Schemes for Stochastic Nash Games., , , and . Math. Oper. Res., 45 (1): 157-190 (2020)Distributed Computation of Equilibria in Misspecified Convex Stochastic Nash Games., , and . IEEE Trans. Automat. Contr., 63 (2): 360-371 (2018)eg-VSSA: An extragradient variable sample-size stochastic approximation scheme: Error analysis and complexity trade-offs., and . WSC, page 690-701. IEEE, (2016)