About me 

I am a  third year PhD student at the University of Wisconsin-Madison, advised by Prof. Dimitris Papailiopoulos . My research interests involve Machine Learning Theory, Learning Theory and Optimization.  

Prior to that,  I received a Bachelor & M. Sc.  in Electrical and Computer Engineering from National and Technical University of Athens,  working with Prof. Panayotis Mertikopoulos.

Publications

1. Looped Transformers as Programmable Computers
   Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason Lee, Dimitris Papailiopoulos (ICML 2023).
   Arxiv link 

2. The Expressive Power of Tuning Only the Normalization Layers

Angeliki Giannou, Shashank Rajput, Dimireis Papailiopoulos (COLT 2023).
Arxiv link 

3. On the convergence of policy gradient methods to Nash equilibria in general stochastic games
   Angeliki Giannou, Kyriakos Lotidis, Emmanouil Vlatakis, Panayotis Mertikopoulos (NeurIPS 2022).

4. On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
   Angeliki Giannou, Emmanouil Vlatakis, Panayotis Mertikopoulos (NeurIPS 2021).

5. Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information
   Angeliki Giannou, Emmanouil Vlatakis, Panayotis Mertikopoulos (COLT 2021). 
   Arxiv link

Service

Reviewer: NeurIPS 21-23, ICML 2023, ICLR 2024, ALT 2024
Outstanding Reviewer Award:  NeurIPS 2021, 2022 (top 8%)