Panayotis Mertikopoulos
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2022
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[J39] Survival of dominated strategies under imitation dynamics
[J38] Learning in nonatomic games, Part I: Finite action spaces and population games
[J37] Distributed stochastic optimization with large delays
[J36] Multi-agent online optimization with delays: Asynchronicity, adaptivity, and optimism
[J35] Online reconfiguration of IoT applications in the Fog: The information-coordination trade-off
[C83] On the convergence of policy gradient methods to Nash equilibria in general stochastic games
[C82] No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
[C81] Pick your neighbor: Local Gauss-Southwell rule for fast asynchronous decentralized optimization
[C80] Learning in games with quantized payoff observations
[C79] Online convex optimization in wireless networks and beyond: The feedback-performance trade-off
[C78] AdaGrad avoids saddle points
[C77] UnderGrad: A universal black-box optimization method with almost dimension-free convergence rate guarantees
[C76] Nested bandits
[C75] The dynamics of Riemannian Robbins-Monro algorithms
[C74] Asymptotic degradation of linear regression estimates with strategic data sources
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