Panayotis Mertikopoulos
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[W10] Tamed Langevin sampling under weaker conditions
[W9] On the discrete-time origins of the replicator dynamics: From convergence to instability and chaos
[W8] Explicit second-order min-max optimization methods with optimal convergence guarantees
[W7] Setwise coordinate descent for dual asynchronous decentralized optimization
[W6] Learning in quantum games
[W5] A heuristic for estimating Nash equilibria in first-price auctions with correlated values
[W4] Multi-agent online learning with imperfect information
[W3] Online convex optimization and no-regret learning: Algorithms, guarantees and applications
[W2] Boltzmann meets Nash: Energy-efficient routing in optical networks under uncertainty
[W1] Power control via online learning in non-stationary MIMO networks
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