About me 

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

During the summer of 2024 I was an intern in Apple Research working with Jason Ramapuram.

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. How Well Can Transformers Emulate In-context Newton's Method?
   Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos and Jason Lee (AISTATS 2025).
   Arxiv Link

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

3. The Expressive Power of Tuning Only the Normalization Layers

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

4. Dissecting Chain of Thought: A study on compositional in-context learning of mlps.
   Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak (NeurIPS 2023).
   Link 

5. 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).

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

For an updated list of publications, please visit my Google Scholar

Service

Reviewer: NeurIPS 21-23, ICML 2023-2024, ICLR 2024-2025, ALT 2024-2025, COLM 2024, AAAI 2026
Outstanding Reviewer Award:  NeurIPS 2021, 2022 (top 8%)
Organizer of MLOpt-Idea Seminar
Organizer of FITML Workshop @ NeurIPS

Teaching Experience

Teaching assistant for CS 220 (Data Programming) (Spring 2025)