| Adaptive learning in continuous games: Optimal regret bounds and convergence to Nash equilibrium YG Hsieh, K Antonakopoulos, P Mertikopoulos Conference on Learning Theory, 2388-2422, 2021 | 109 | 2021 |
| Adaptive extra-gradient methods for min-max optimization and games K Antonakopoulos, EV Belmega, P Mertikopoulos arXiv preprint arXiv:2010.12100, 2020 | 63 | 2020 |
| Training deep learning models with norm-constrained lmos T Pethick, W Xie, K Antonakopoulos, Z Zhu, A Silveti-Falls, V Cevher arXiv preprint arXiv:2502.07529, 2025 | 58 | 2025 |
| An adaptive mirror-prox method for variational inequalities with singular operators K Antonakopoulos, V Belmega, P Mertikopoulos Advances in Neural Information Processing Systems 32, 2019 | 56 | 2019 |
| On the generalization of stochastic gradient descent with momentum A Ramezani-Kebrya, K Antonakopoulos, V Cevher, A Khisti, B Liang Journal of Machine Learning Research 25 (22), 1-56, 2024 | 38 | 2024 |
| No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation YG Hsieh, K Antonakopoulos, V Cevher, P Mertikopoulos Advances in Neural Information Processing Systems 35, 6544-6556, 2022 | 37 | 2022 |
| AdaGrad avoids saddle points K Antonakopoulos, P Mertikopoulos, G Piliouras, X Wang International Conference on Machine Learning, 731-771, 2022 | 29 | 2022 |
| Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach K Antonakopoulos, EV Belmega, P Mertikopoulos International Conference on Learning Representations, 2020 | 27 | 2020 |
| Fast routing under uncertainty: Adaptive learning in congestion games via exponential weights DQ Vu, K Antonakopoulos, P Mertikopoulos Advances in Neural Information Processing Systems 34, 14708-14720, 2021 | 23 | 2021 |
| Adaptive stochastic variance reduction for non-convex finite-sum minimization A Kavis, S Skoulakis, K Antonakopoulos, LT Dadi, V Cevher Advances in Neural Information Processing Systems 35, 23524-23538, 2022 | 22 | 2022 |
| Extra-newton: A first approach to noise-adaptive accelerated second-order methods K Antonakopoulos, A Kavis, V Cevher Advances in Neural Information Processing Systems 35, 29859-29872, 2022 | 17 | 2022 |
| Adaptive first-order methods revisited: Convex minimization without lipschitz requirements K Antonakopoulos, P Mertikopoulos Advances in Neural Information Processing Systems 34, 19056-19068, 2021 | 16 | 2021 |
| Sifting through the noise: Universal first-order methods for stochastic variational inequalities K Antonakopoulos, T Pethick, A Kavis, P Mertikopoulos, V Cevher Advances in Neural Information Processing Systems 34, 13099-13111, 2021 | 13 | 2021 |
| Advancing the lower bounds: an accelerated, stochastic, second-order method with optimal adaptation to inexactness A Agafonov, D Kamzolov, A Gasnikov, A Kavis, K Antonakopoulos, ... arXiv preprint arXiv:2309.01570, 2023 | 10 | 2023 |
| UnderGrad: A universal black-box optimization method with almost dimension-free convergence rate guarantees K Antonakopoulos, DQ Vu, V Cevher, K Levy, P Mertikopoulos International Conference on Machine Learning, 772-795, 2022 | 10 | 2022 |
| Generalized Gradient Norm Clipping & Non-Euclidean -Smoothness T Pethick, W Xie, M Erdogan, K Antonakopoulos, T Silveti-Falls, V Cevher arXiv preprint arXiv:2506.01913, 2025 | 8 | 2025 |
| Multi-step alignment as markov games: An optimistic online gradient descent approach with convergence guarantees Y Wu, L Viano, Y Chen, Z Zhu, K Antonakopoulos, Q Gu, V Cevher arXiv preprint arXiv:2502.12678, 2025 | 6 | 2025 |
| Improving SAM Requires Rethinking its Optimization Formulation VC Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick Proceedings of the 41st International Conference on Machine Learning 235 …, 2024 | 5* | 2024 |
| Distributed extra-gradient with optimal complexity and communication guarantees A Ramezani-Kebrya, K Antonakopoulos, I Krawczuk, J Deschenaux, ... arXiv preprint arXiv:2308.09187, 2023 | 2 | 2023 |
| Adaptive bilevel optimization K Antonakopoulos, S Sabach, L Viano, M Hong, V Cevher ACM/IMS Journal of Data Science 2 (2), 1-29, 2025 | 1 | 2025 |
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar (AGI Foundations).Verified email at epfl.ch
