Ioannis Anagnostides

PhD student, Computer science, Carnegie Mellon University

Joined

September 2021

Names

Ioannis Anagnostides (Preferred)

Emails

****@cs.cmu.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

PhD student

Computer science, Carnegie Mellon University (cmu.edu)

2021 – 2027

Undergrad student

National Technical University of Athens (ntua.gr)

2015 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Tuomas Sandholm

2021 – 2027

Expertise

Algorithmic game theory

Present

Publications

Decision Making under Imperfect Recall: Algorithms and Benchmarks
Emanuel Tewolde, Brian Hu Zhang, Ioannis Anagnostides, Tuomas Sandholm, Vincent Conitzer
- ICLR 2026 Workshop AIMS Oral
- Readers: Everyone
Convergence of Regret Matching in Potential Games and Constrained Optimization
Ioannis Anagnostides, Emanuel Tewolde, Brian Hu Zhang, Ioannis Panageas, Vincent Conitzer, Tuomas Sandholm
- ICLR 2026 Poster
- Readers: Everyone
Decision Making under Imperfect Recall: Algorithms and Benchmarks
Emanuel Tewolde, Brian Hu Zhang, Ioannis Anagnostides, Tuomas Sandholm, Vincent Conitzer
- Submitted to ICLR 2026
- Readers: Everyone
The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games
Ioannis Anagnostides, Ioannis Panageas, Tuomas Sandholm, Jingming Yan
- NeurIPS 2025 spotlight
- Readers: Everyone
Expected Variational Inequalities
Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde, Ratip Emin Berker, Gabriele Farina, Vincent Conitzer, Tuomas Sandholm
- ICML 2025 oral
- Readers: Everyone
Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
Ioannis Anagnostides, Tuomas Sandholm
- NeurIPS 2024 poster
- Readers: Everyone
Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
Brian Hu Zhang, Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm
- NeurIPS 2024 poster
- Readers: Everyone
Steering No-Regret Learners to Optimal Equilibria
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
- Submitted to ICLR 2024
- Readers: Everyone
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
- NeurIPS 2023 poster
- Readers: Everyone
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
- NeurIPS 2023 poster
- Readers: Everyone

View all 39 publications

Co-Authors

View all 35 co-authors