Emmanouil-Vasileios Vlatakis-Gkaragkounis
13 papers · 2019–2025 · 3 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22)
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Keyword Collector
(65)
Venues
Top co-authors
Research topics
Keywords
nash equilibrium
(6)
gradient descent ascent
(4)
zero-sum game
(4)
min-max optimization
(3)
non-convex optimization
(3)
game theory
(3)
policy gradient
(3)
no-regret learning
(2)
multi-agent system
(2)
generative adversarial network
(2)
online learning
(2)
stochastic optimization
(2)
nash equilibria
(1)
robust pca
(1)
gradient descent
(1)
median estimation
(1)
convex optimization
(1)
multi-agent reinforcement learning
(1)
regularized learning
(1)
derivative-free optimization
(1)
Papers
Solving Zero-Sum Convex Markov Games
ICML 2025
Contracting with a Learning Agent
NeurIPS 2024
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
ICLR 2023
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
NeurIPS 2023
Towards convergence to Nash equilibria in two-team zero-sum games
ICLR 2023
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
NeurIPS 2022
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
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
NeurIPS 2021
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix
NeurIPS 2020
Optimal Private Median Estimation under Minimal Distributional Assumptions
NeurIPS 2020
Efficiently avoiding saddle points with zero order methods: No gradients required
NeurIPS 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
NeurIPS 2019