Hakutulokset - Loizou, Nicolas

Linearly convergent stochastic heavy ball method for minimizing generalization error Tekijä Loizou, Nicolas, Richtárik, Peter

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Accelerated Gossip via Stochastic Heavy Ball Method Tekijä Loizou, Nicolas, Richtárik, Peter

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Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols Tekijä Loizou, Nicolas, Richtárik, Peter

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Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance Tekijä Oikonomou, Dimitris, Loizou, Nicolas

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Sharpness-Aware Minimization: General Analysis and Improved Rates Tekijä Oikonomou, Dimitris, Loizou, Nicolas

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Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems Tekijä Choudhury, Sayantan, Loizou, Nicolas

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Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients Tekijä Oikonomou, Dimitris, Loizou, Nicolas

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Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler Tekijä Oikonomou, Dimitris, Loizou, Nicolas

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Curvature-Scaled Sharpness-Aware Minimization: Convergence Beyond Smoothness Tekijä Oikonomou, Dimitris, Loizou, Nicolas

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On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Tekijä Yoon, TaeHo, Loizou, Nicolas

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Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization Tekijä Yoon, TaeHo, Loizou, Nicolas

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Dual-Anchor Acceleration Is Near-Optimal for Stochastic Monotone Root-Finding Tekijä Yoon, TaeHo, Loizou, Nicolas

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Provably Accelerated Randomized Gossip Algorithms Tekijä Loizou, Nicolas, Rabbat, Michael, Richtárik, Peter

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Extragradient Method: $O(1/K)$ Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity Tekijä Gorbunov, Eduard, Loizou, Nicolas, Gidel, Gauthier

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Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions Tekijä Choudhury, Sayantan, Gorbunov, Eduard, Loizou, Nicolas

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Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities Tekijä Emmanouilidis, Konstantinos, Vidal, René, Loizou, Nicolas

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SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation Tekijä Gower, Robert M., Sebbouh, Othmane, Loizou, Nicolas

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Locally Adaptive Federated Learning Tekijä Mukherjee, Sohom, Loizou, Nicolas, Stich, Sebastian U.

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Multiplayer Federated Learning: Reaching Equilibrium with Less Communication Tekijä Yoon, TaeHo, Choudhury, Sayantan, Loizou, Nicolas

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Stochastic Gradient Push for Distributed Deep Learning Tekijä Assran, Mahmoud, Loizou, Nicolas, Ballas, Nicolas, Rabbat, Michael

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