Angeliki Giannou
10 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🗃️ Keyword Collector (57)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(7)
Core AI
(7)
Deep Learning
(5)
Mathematics & Optimization
(4)
Learning Types · Machine Learning
(4)
Optimization
(4)
Optimization & Theory · Machine Learning
(4)
Architectures
(3)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Reinforcement Learning
(1)
Learning Paradigms
(1)
Methods
(1)
Keywords
nash equilibrium
(4)
in-context learning
(4)
regularized learning
(2)
convergence analysis
(2)
bandit feedback
(2)
attention mechanism
(2)
game theory
(2)
multi-agent system
(2)
minimax optimization
(1)
policy gradient
(1)
transformer
(1)
markov chain monte carlo
(1)
logistic regression
(1)
batch normalization
(1)
bias correction
(1)
gradient descent
(1)
markov chain
(1)
output distribution
(1)
variational inequality
(1)
transformer architecture
(1)
Papers
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
ICML 2025
How Well Can Transformers Emulate In-Context Newton’s Method?
AISTATS 2025
Accelerated Regularized Learning in Finite N-Person Games
NeurIPS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements
AISTATS 2024
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
NeurIPS 2023
Looped Transformers as Programmable Computers
ICML 2023
The Expressive Power of Tuning Only the Normalization Layers
COLT 2023
On the convergence of policy gradient methods to Nash equilibria in general stochastic games
NeurIPS 2022
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
NeurIPS 2021
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information
COLT 2021