Angeliki Giannou

According to our database, Angeliki Giannou authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition.

Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G. Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos

CoRR, 2024

How Well Can Transformers Emulate In-context Newton's Method?

Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee

CoRR, 2024

Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements.

Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Dissecting Chain-of-Thought: A Study on Compositional In-Context Learning of MLPs.

Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris S. Papailiopoulos, Samet Oymak

CoRR, 2023

The Expressive Power of Tuning Only the Norm Layers.

Angeliki Giannou, Shashank Rajput, Dimitris S. Papailiopoulos

CoRR, 2023

Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning.

Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Looped Transformers as Programmable Computers.

Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos

Proceedings of the International Conference on Machine Learning, 2023

The Expressive Power of Tuning Only the Normalization Layers.

Angeliki Giannou, Shashank Rajput, Dimitris Papailiopoulos

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

On the convergence of policy gradient methods to Nash equilibria in general stochastic games.

Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable.

Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos

CoRR, 2021

The convergence rate of regularized learning in games: From bandits and uncertainty to optimism and beyond.

Angeliki Giannou, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information.

Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos

Proceedings of the Conference on Learning Theory, 2021