Panayotis Mertikopoulos
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2018
[W4] Multi-agent online learning with imperfect information
[W3] Online convex optimization and no-regret learning: Algorithms, guarantees and applications
[J26] Stochastic mirror descent dynamics and their convergence in monotone variational inequalities
[J25] Riemannian game dynamics
[J24] On the convergence of gradient-like flows with noisy gradient input
[C41] Bandit learning in concave N-person games
[C40] Learning in games with lossy feedback
[C39] On the convergence of stochastic forward-backward-forward algorithms with variance reduction
[C38] Power control with random delays: Robust feedback averaging
[C37] Distributed asynchronous optimization with unbounded delays: How slow can you go?
[C36] A resource allocation framework for network slicing
[C35] Cycles in adversarial regularized learning
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Wouter Beeftink