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Ioannis Anagnostides
Ioannis Anagnostides
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games
I Anagnostides, C Daskalakis, G Farina, M Fishelson, N Golowich, ...
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022
612022
On last-iterate convergence beyond zero-sum games
I Anagnostides, I Panageas, G Farina, T Sandholm
International Conference on Machine Learning, 536-581, 2022
402022
Near-optimal no-regret learning dynamics for general convex games
G Farina, I Anagnostides, H Luo, CW Lee, C Kroer, T Sandholm
Advances in Neural Information Processing Systems 35, 39076-39089, 2022
32*2022
Uncoupled Learning Dynamics with Swap Regret in Multiplayer Games
I Anagnostides, G Farina, C Kroer, CW Lee, H Luo, T Sandholm
Advances in Neural Information Processing Systems 35, 3292-3304, 2022
302022
Meta-learning in games
K Harris, I Anagnostides, G Farina, M Khodak, ZS Wu, T Sandholm
arXiv preprint arXiv:2209.14110, 2022
192022
Faster no-regret learning dynamics for extensive-form correlated and coarse correlated equilibria
I Anagnostides, G Farina, C Kroer, A Celli, T Sandholm
arXiv preprint arXiv:2202.05446, 2022
172022
On the convergence of no-regret learning dynamics in time-varying games
I Anagnostides, I Panageas, G Farina, T Sandholm
Advances in Neural Information Processing Systems 36, 2024
152024
Efficiently computing nash equilibria in adversarial team markov games
F Kalogiannis, I Anagnostides, I Panageas, EV Vlatakis-Gkaragkounis, ...
arXiv preprint arXiv:2208.02204, 2022
132022
Deterministic distributed algorithms and lower bounds in the hybrid model
I Anagnostides, T Gouleakis
arXiv preprint arXiv:2108.01740, 2021
132021
Metric-distortion bounds under limited information
I Anagnostides, D Fotakis, P Patsilinakos
Journal of Artificial Intelligence Research 74, 1449-1483, 2022
122022
Near-Optimal -Regret Learning in Extensive-Form Games
I Anagnostides, G Farina, T Sandholm
International Conference on Machine Learning, 814-839, 2023
112023
Computing optimal equilibria and mechanisms via learning in zero-sum extensive-form games
B Zhang, G Farina, I Anagnostides, F Cacciamani, S McAleer, A Haupt, ...
Advances in Neural Information Processing Systems 36, 2024
102024
Steering no-regret learners to optimal equilibria
BH Zhang, G Farina, I Anagnostides, F Cacciamani, SM McAleer, ...
10*2023
Algorithms and complexity for computing nash equilibria in adversarial team games
I Anagnostides, F Kalogiannis, I Panageas, EV Vlatakis-Gkaragkounis, ...
arXiv preprint arXiv:2301.02129, 2023
82023
Optimistic mirror descent either converges to nash or to strong coarse correlated equilibria in bimatrix games
I Anagnostides, G Farina, I Panageas, T Sandholm
Advances in Neural Information Processing Systems 35, 16439-16454, 2022
82022
Almost Universally Optimal Distributed Laplacian Solvers via Low-Congestion Shortcuts
I Anagnostides, C Lenzen, B Haeupler, G Zuzic, T Gouleakis
https://arxiv.org/abs/2109.05151, 2021
7*2021
Dimensionality and coordination in voting: The distortion of STV
I Anagnostides, D Fotakis, P Patsilinakos
Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 4776-4784, 2022
42022
Frequency-Domain Representation of First-Order Methods: A Simple and Robust Framework of Analysis∗
I Anagnostides, I Panageas
Symposium on Simplicity in Algorithms (SOSA), 131-160, 2022
42022
Solving zero-sum games through alternating projections
I Anagnostides, P Penna
arXiv preprint arXiv:2010.00109, 2020
32020
Optimistic policy gradient in multi-player markov games with a single controller: Convergence beyond the minty property
I Anagnostides, I Panageas, G Farina, T Sandholm
Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 9451-9459, 2024
22024
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