Panayotis Mertikopoulos
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2019
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[D3] Online optimization and learning in games: Theory and applications
[J29] Hessian barrier algorithms for linearly constrained optimization problems
[J28] Online power optimization in feedback-limited, dynamic and unpredictable IoT networks
[J27] Learning in games with continuous action sets and unknown payoff functions
[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
[C47] Gradient-free online resource allocation algorithms for dynamic wireless networks
[C46] Cautious regret minimization: Online optimization with long-term budget constraints
[C45] Load-aware provisioning of IoT services on Fog computing platforms
[C44] Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
[C43] Large-scale network utility maximization: Countering exponential growth with exponentiated gradients
[C42] A Fog-based framework for IoT service provisioning
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