Ioannis Anagnostides
17 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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(22)
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(2)
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(14)
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(17)
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(69)
Conferences
NIPS (8)
AAAI (3)
ICML (3)
ICLR (2)
AISTATS (1)
Top co-authors
Keywords
game theory
(6)
multi-agent system
(5)
extensive-form game
(4)
nash equilibrium
(3)
no-regret learning
(3)
online learning
(3)
coarse correlated equilibrium
(3)
zero-sum game
(2)
swap regret
(2)
optimistic learning
(2)
regret minimization
(2)
learning theory
(2)
multi-agent learning
(2)
optimistic mirror descent
(2)
regret bound
(2)
learning dynamics
(2)
equilibrium analysis
(1)
robust classification
(1)
label noise
(1)
statistical query
(1)
Papers
Expected Variational Inequalities
ICML 2025
The Value of Recall in Extensive-Form Games
AAAI 2025
Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
NIPS 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
AAAI 2024
Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
NIPS 2024
On the Interplay between Social Welfare and Tractability of Equilibria
NIPS 2023
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
NIPS 2023
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
ICLR 2023
Meta-Learning in Games
ICLR 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
NIPS 2023
Near-Optimal $Ξ¦$-Regret Learning in Extensive-Form Games
ICML 2023
Dimensionality and Coordination in Voting: The Distortion of STV
AAAI 2022
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games
NIPS 2022
Near-Optimal No-Regret Learning Dynamics for General Convex Games
NIPS 2022
Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games
NIPS 2022
On Last-Iterate Convergence Beyond Zero-Sum Games
ICML 2022
Robust Learning under Strong Noise via SQs
AISTATS 2021