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2020 – today
- 2024
[c7]Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie:
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. AISTATS 2024: 4123-4131- [i9]Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee:
How Well Can Transformers Emulate In-context Newton's Method? CoRR abs/2403.03183 (2024) - [i8]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:
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. CoRR abs/2410.05603 (2024) - [i7]Kyriakos Lotidis, Angeliki Giannou, Panayotis Mertikopoulos, Nicholas Bambos:
Accelerated regularized learning in finite N-person games. CoRR abs/2412.20365 (2024) - 2023
- [c6]Angeliki Giannou, Shashank Rajput, Dimitris Papailiopoulos:
The Expressive Power of Tuning Only the Normalization Layers. COLT 2023: 4130-4131 - [c5]Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos:
Looped Transformers as Programmable Computers. ICML 2023: 11398-11442 - [c4]Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak:
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning. NeurIPS 2023 - [i6]Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris S. Papailiopoulos:
Looped Transformers as Programmable Computers. CoRR abs/2301.13196 (2023) - [i5]Angeliki Giannou, Shashank Rajput, Dimitris S. Papailiopoulos:
The Expressive Power of Tuning Only the Norm Layers. CoRR abs/2302.07937 (2023) - [i4]Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris S. Papailiopoulos, Samet Oymak:
Dissecting Chain-of-Thought: A Study on Compositional In-Context Learning of MLPs. CoRR abs/2305.18869 (2023) - [i3]Emmanouil V. Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie:
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. CoRR abs/2306.16502 (2023) - 2022
- [c3]Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis:
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. NeurIPS 2022 - [i2]Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis:
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. CoRR abs/2210.08857 (2022) - 2021
- [c2]Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis
, Panayotis Mertikopoulos:
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information. COLT 2021: 2147-2148 - [c1]Angeliki Giannou, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
The convergence rate of regularized learning in games: From bandits and uncertainty to optimism and beyond. NeurIPS 2021: 22655-22666 - [i1]Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable. CoRR abs/2101.04667 (2021)
Coauthor Index
aka: Emmanouil-Vasileios Vlatakis-Gkaragkounis
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