| 2025 | IWOCA | Exact Learning of Weighted Graphs Using Composite Queries. | Michael T. Goodrich, Songyu Liu, Ioannis Panageas |
| 2024 | AAAI | Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property. | Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm |
| 2024 | AAAI | Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints. | Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas |
| 2024 | ICLR | Learning Nash Equilibria in Rank-1 Games. | Nikolas Patris, Ioannis Panageas |
| 2024 | ICLR | Beating Price of Anarchy and Gradient Descent without Regret in Potential Games. | Iosif Sakos, Stefanos Leonardos, Stelios Andrew Stavroulakis, Will Overman, Ioannis Panageas, Georgios Piliouras |
| 2024 | ICML | The Computational Complexity of Finding Second-Order Stationary Points. | Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos, Panayotis Mertikopoulos, Aris Pagourtzis, Ioannis Panageas |
| 2024 | UAI | Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games. | Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang |
| 2023 | AAAI | Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach. | Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu |
| 2023 | ICLR | Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. | Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis, Vaggos Chatziafratis, Stelios Andrew Stavroulakis |
| 2023 | ICLR | Towards convergence to Nash equilibria in two-team zero-sum games. | Fivos Kalogiannis, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis |
| 2023 | ICML | Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. | Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher |
| 2022 | AISTATS | Independent Natural Policy Gradient always converges in Markov Potential Games. | Roy Fox, Stephen M. McAleer, Will Overman, Ioannis Panageas |
| 2022 | ICLR | Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games. | Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras |
| 2022 | ICML | On Last-Iterate Convergence Beyond Zero-Sum Games. | Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm |
| 2022 | IJCAI | Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always. | Yi Feng, Ioannis Panageas, Xiao Wang |
| 2021 | AISTATS | Efficient Statistics for Sparse Graphical Models from Truncated Samples. | Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan, Ioannis Panageas |
| 2021 | AISTATS | Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. | Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang |
| 2020 | AISTATS | Logistic regression with peer-group effects via inference in higher-order Ising models. | Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas |
| 2020 | ALT | On the Analysis of EM for truncated mixtures of two Gaussians. | Sai Ganesh Nagarajan, Ioannis Panageas |
| 2020 | ICLR | Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. | Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang |
| 2020 | ICML | Better depth-width trade-offs for neural networks through the lens of dynamical systems. | Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas |
| 2019 | ICML | Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always. | Ioannis Panageas, Georgios Piliouras, Xiao Wang |
| 2019 | STOC | Regression from dependent observations. | Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas |
| 2017 | ICALP | Opinion Dynamics in Networks: Convergence, Stability and Lack of Explosion. | Tung Mai, Ioannis Panageas, Vijay V. Vazirani |
| 2016 | ESA | The Computational Complexity of Genetic Diversity. | Ruta Mehta, Ioannis Panageas, Georgios Piliouras, Sadra Yazdanbod |
| 2016 | ICALP | Mixing Time of Markov Chains, Dynamical Systems and Evolution. | Ioannis Panageas, Nisheeth K. Vishnoi |
| 2016 | SODA | Evolutionary Dynamics in Finite Populations Mix Rapidly. | Ioannis Panageas, Piyush Srivastava, Nisheeth K. Vishnoi |
| 2013 | IROS | Support-theoretic subgraph preconditioners for large-scale SLAM. | Yong-Dian Jian, Doru Balcan, Ioannis Panageas, Prasad Tetali, Frank Dellaert |