Panayotis Mertikopoulos
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[C77] UnderGrad: A universal black-box optimization method with almost dimension-free convergence rate guarantees
[J33] Robust power management via learning and game design
[C64] The limits of min-max optimization algorithms: Convergence to spurious non-critical sets
[C59] No-regret learning and mixed Nash equilibria: They do not mix
[C57] Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling
[C51] Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach
[C9] Strange bedfellows: Riemann, Gibbs and vector Gaussian multiple access channels
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