| Looped transformers as programmable computers A Giannou, S Rajput, J Sohn, K Lee, JD Lee, D Papailiopoulos International Conference on Machine Learning, 11398-11442, 2023 | 85 | 2023 |
| Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information A Giannou, EV Vlatakis-Gkaragkounis, P Mertikopoulos Conference on Learning Theory, 2147-2148, 2021 | 37 | 2021 |
| Dissecting chain-of-thought: A study on compositional in-context learning of mlps Y Li, K Sreenivasan, A Giannou, D Papailiopoulos, S Oymak arXiv preprint arXiv:2305.18869, 2023 | 30* | 2023 |
| On the rate of convergence of regularized learning in games: From bandits and uncertainty to optimism and beyond A Giannou, EV Vlatakis-Gkaragkounis, P Mertikopoulos Advances in Neural Information Processing Systems 34, 22655-22666, 2021 | 27 | 2021 |
| On the convergence of policy gradient methods to Nash equilibria in general stochastic games A Giannou, K Lotidis, P Mertikopoulos, EV Vlatakis-Gkaragkounis Advances in Neural Information Processing Systems 35, 7128-7141, 2022 | 19 | 2022 |
| The expressive power of tuning only the Norm layers A Giannou, S Rajput, D Papailiopoulos arXiv preprint arXiv:2302.07937 8, 2023 | 16 | 2023 |
| How Well Can Transformers Emulate In-context Newton's Method? A Giannou, L Yang, T Wang, D Papailiopoulos, JD Lee arXiv preprint arXiv:2403.03183, 2024 | 9 | 2024 |
| Stochastic methods in variational inequalities: Ergodicity, bias and refinements EV Vlatakis-Gkaragkounis, A Giannou, Y Chen, Q Xie International Conference on Artificial Intelligence and Statistics, 4123-4131, 2024 | 4 | 2024 |
| Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition Z Xiong, Z Cai, J Cooper, A Ge, V Papageorgiou, Z Sifakis, A Giannou, ... arXiv preprint arXiv:2410.05603, 2024 | | 2024 |
| Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements E Vasileios_Vlatakis-Gkaragkounis, A Giannou, Y Chen, Q Xie Proceedings of Machine Learning Research, 2024 | | 2024 |
| Accelerated Regularized Learning in Finite N-Person Games K Lotidis, A Giannou, P Mertikopoulos, N Bambos The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
Emmanouil-Vasileios Vlatakis-Gkarag...PhD Candidate in Computer Science, Columbia UniversityGeverifieerd e-mailadres voor cs.columbia.edu