| A Unified Theory of Decentralized SGD with Changing Topology and Local Updates A Koloskova, N Loizou, S Boreiri, M Jaggi, SU Stich ICML 2020 - Proceedings of the 37th International Conference on Machine Learning, 2020 | 577 | 2020 |
| SGD: General Analysis and Improved Rates RM Gower, N Loizou, X Qian, A Sailanbayev, E Shulgin, P Richtarik ICML 2019 - Proceedings of the 36th International Conference on Machine Learning, 2019 | 518 | 2019 |
| Stochastic gradient push for distributed deep learning M Assran, N Loizou, N Ballas, M Rabbat ICML 2019 - Proceedings of the 36th International Conference on Machine Learning, 2018 | 426 | 2018 |
| Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods N Loizou, P Richtárik Computational Optimization and Applications, 77 (3), 653-710, 2020 | 229 | 2020 |
| Stochastic Polyak step-size for SGD: An adaptive learning rate for fast convergence N Loizou, S Vaswani, I Laradji, S Lacoste-Julien AISTATS 2021 - International Conference on Artificial Intelligence and …, 2021 | 212 | 2021 |
| Extragradient method: O (1/K) last-iterate convergence for monotone variational inequalities and connections with cocoercivity E Gorbunov, N Loizou, G Gidel AISTATS 2022 - International Conference on Artificial Intelligence and …, 2022 | 104 | 2022 |
| SGD for structured nonconvex functions: Learning rates, minibatching and interpolation RM Gower, O Sebbouh, N Loizou AISTATS 2021 - International Conference on Artificial Intelligence and …, 2021 | 94 | 2021 |
| Stochastic gradient descent-ascent: Unified theory and new efficient methods A Beznosikov, E Gorbunov, H Berard, N Loizou AISTATS 2023 - International Conference on Artificial Intelligence and …, 2023 | 66 | 2023 |
| A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games S Sokota, R D'Orazio, JZ Kolter, N Loizou, M Lanctot, I Mitliagkas, ... ICLR 2023 - International Conference on Learning Representations, 2022 | 66 | 2022 |
| Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity N Loizou, H Berard, G Gidel, I Mitliagkas, S Lacoste-Julien NeurIPS 2021 - Advances in Neural Information Processing Systems, 2021 | 64 | 2021 |
| Stochastic Hamiltonian Gradient Methods for Smooth Games N Loizou, H Berard, A Jolicoeur-Martineau, P Vincent, S Lacoste-Julien, ... ICML 2020 - Proceedings of the 37th International Conference on Machine Learning, 2020 | 59 | 2020 |
| Unified analysis of stochastic gradient methods for composite convex and smooth optimization A Khaled, O Sebbouh, N Loizou, RM Gower, P Richtárik Journal of Optimization Theory and Applications 199 (2), 499-540, 2023 | 54 | 2023 |
| Stochastic extragradient: General analysis and improved rates E Gorbunov, H Berard, G Gidel, N Loizou AISTATS 2022 - International Conference on Artificial Intelligence and …, 2022 | 51 | 2022 |
| Linearly convergent stochastic heavy ball method for minimizing generalization error N Loizou, P Richtárik NIPS 2017- Workshop on Optimization for Machine Learning , arXiv preprint …, 2017 | 46 | 2017 |
| Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols N Loizou, P Richtárik IEEE Transactions on Information Theory 67 (12), 8300 - 8324, 2021 | 41 | 2021 |
| Stochastic mirror descent: Convergence analysis and adaptive variants via the mirror stochastic Polyak stepsize R D'Orazio, N Loizou, I Laradji, I Mitliagkas Transactions on Machine Learning Research, 2021 | 37 | 2021 |
| Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution A Orvieto, S Lacoste-Julien, N Loizou NeurIPS 2022 - Advances in Neural Information Processing Systems, 2022 | 36 | 2022 |
| A new perspective on randomized gossip algorithms N Loizou, P Richtárik IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016 | 32 | 2016 |
| On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging CJ Li, Y Yu, N Loizou, G Gidel, Y Ma, N Le Roux, M Jordan AISTATS 2022 - International Conference on Artificial Intelligence and …, 2022 | 30* | 2022 |
| Provably accelerated randomized gossip algorithms N Loizou, M Rabbat, P Richtárik ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 26 | 2018 |
Peter RichtarikProfessor, KAUSTZweryfikowany adres z kaust.edu.sa