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Convex nondifferentiable stochastic optimization: A local randomized smoothing technique., , and . ACC, page 4875-4880. IEEE, (2010)Data-driven first-order methods for misspecified convex optimization problems: Global convergence and Rate estimates., and . CDC, page 4228-4233. IEEE, (2014)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)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)Synchronization of Coupled Oscillators is a Game., , , and . IEEE Trans. Autom. Control., 57 (4): 920-935 (2012)On the Analysis of Inexact Augmented Lagrangian Schemes for Misspecified Conic Convex Programs., , and . IEEE Trans. Autom. Control., 67 (8): 3981-3996 (2022)A randomized inexact proximal best-response scheme for potential stochastic nash games., and . CDC, page 1646-1651. IEEE, (2017)