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 | 48 | 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 | 29 | 2021 |
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 | 21 | 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 | 12 | 2022 |
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 | 11 | 2023 |
The expressive power of tuning only the norm layers A Giannou, S Rajput, D Papailiopoulos arXiv e-prints, arXiv: 2302.07937, 2023 | 6* | 2023 |
Dissecting chain-of-thought: Compositionality through in-context filtering and learning Y Li, K Sreenivasan, A Giannou, D Papailiopoulos, S Oymak Advances in Neural Information Processing Systems 36, 2024 | 3 | 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 | 2 | 2024 |
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 | | 2024 |