Ioannis Panageas

According to our database, Ioannis Panageas authored at least 59 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2024

Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem.

Fivos Kalogiannis, Jingming Yan, Ioannis Panageas

CoRR, 2024

Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games.

Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang

CoRR, 2024

Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games.

Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher

CoRR, 2024

The Computational Complexity of Finding Second-Order Stationary Points.

Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos, Panayotis Mertikopoulos, Aris Pagourtzis, Ioannis Panageas

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Nash Equilibria in Rank-1 Games.

Nikolas Patris, Ioannis Panageas

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints.

Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games.

Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Exponential Lower Bounds for Fictitious Play in Potential Games.

Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria.

Fivos Kalogiannis, Ioannis Panageas

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails.

Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of No-Regret Learning Dynamics in Time-Varying Games.

Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.

Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher

Proceedings of the International Conference on Machine Learning, 2023

Towards convergence to Nash equilibria in two-team zero-sum games.

Fivos Kalogiannis, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficiently Computing Nash Equilibria in Adversarial Team Markov Games.

Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis, Vaggos Chatziafratis, Stelios Andrew Stavroulakis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach.

Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Frequency-Domain Representation of First-Order Methods: A Simple and Robust Framework of Analysis.

Ioannis Anagnostides, Ioannis Panageas

Proceedings of the 5th Symposium on Simplicity in Algorithms, 2022

On Scrambling Phenomena for Randomly Initialized Recurrent Networks.

Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Stavroulakis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games.

Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always.

Yi Feng, Ioannis Panageas, Xiao Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

On Last-Iterate Convergence Beyond Zero-Sum Games.

Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm

Proceedings of the International Conference on Machine Learning, 2022

Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games.

Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras

Proceedings of the Tenth International Conference on Learning Representations, 2022

Independent Natural Policy Gradient always converges in Markov Potential Games.

Roy Fox, Stephen M. McAleer, Will Overman, Ioannis Panageas

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Teamwork makes von Neumann work: Min-Max Optimization in Two-Team Zero-Sum Games.

Fivos Kalogiannis, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis

CoRR, 2021

Combinatorial Algorithms for Matching Markets via Nash Bargaining: One-Sided, Two-Sided and Non-Bipartite.

Ioannis Panageas, Thorben Tröbst, Vijay V. Vazirani

CoRR, 2021

Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes.

Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Efficient Statistics for Sparse Graphical Models from Truncated Samples.

Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan, Ioannis Panageas

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently.

Ioannis Panageas, Stratis Skoulakis, Antonios Varvitsiotis, Xiao Wang

CoRR, 2020

Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev.

Xiao Wang, Qi Lei, Ioannis Panageas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Better depth-width trade-offs for neural networks through the lens of dynamical systems.

Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas

Proceedings of the 37th International Conference on Machine Learning, 2020

Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem.

Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

On the Analysis of EM for truncated mixtures of two Gaussians.

Sai Ganesh Nagarajan, Ioannis Panageas

Proceedings of the Algorithmic Learning Theory, 2020

Logistic regression with peer-group effects via inference in higher-order Ising models.

Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

First-order methods almost always avoid strict saddle points.

Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Max Simchowitz, Michael I. Jordan, Benjamin Recht

Math. Program., 2019

On the Convergence of EM for truncated mixtures of two Gaussians.

Sai Ganesh Nagarajan, Ioannis Panageas

CoRR, 2019

Regression from dependent observations.

Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas

Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

First-order methods almost always avoid saddle points: The case of vanishing step-sizes.

Ioannis Panageas, Georgios Piliouras, Xiao Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization.

Constantinos Daskalakis, Ioannis Panageas

Proceedings of the 10th Innovations in Theoretical Computer Science Conference, 2019

Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always.

Ioannis Panageas, Georgios Piliouras, Xiao Wang

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Cycles in Zero-Sum Differential Games and Biological Diversity.

Tung Mai, Milena Mihail, Ioannis Panageas, Will Ratcliff, Vijay V. Vazirani, Peter Yunker

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization.

Constantinos Daskalakis, Ioannis Panageas

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Rock-Paper-Scissors, Differential Games and Biological Diversity.

Tung Mai, Ioannis Panageas, Will Ratcliff, Vijay V. Vazirani, Peter Yunker

CoRR, 2017

First-order Methods Almost Always Avoid Saddle Points.

Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Max Simchowitz, Michael I. Jordan, Benjamin Recht

CoRR, 2017

Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos.

Gerasimos Palaiopanos, Ioannis Panageas, Georgios Piliouras

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions.

Ioannis Panageas, Georgios Piliouras

Proceedings of the 8th Innovations in Theoretical Computer Science Conference, 2017

Mutation, Sexual Reproduction and Survival in Dynamic Environments.

Ruta Mehta, Ioannis Panageas, Georgios Piliouras, Prasad Tetali, Vijay V. Vazirani

Proceedings of the 8th Innovations in Theoretical Computer Science Conference, 2017

Opinion Dynamics in Networks: Convergence, Stability and Lack of Explosion.

Tung Mai, Ioannis Panageas, Vijay V. Vazirani

Proceedings of the 44th International Colloquium on Automata, Languages, and Programming, 2017

2016

Gradient Descent Converges to Minimizers: The Case of Non-Isolated Critical Points.

Ioannis Panageas, Georgios Piliouras

CoRR, 2016

Evolutionary Dynamics in Finite Populations Mix Rapidly.

Ioannis Panageas, Piyush Srivastava, Nisheeth K. Vishnoi

Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

Average Case Performance of Replicator Dynamics in Potential Games via Computing Regions of Attraction.

Ioannis Panageas, Georgios Piliouras

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Mixing Time of Markov Chains, Dynamical Systems and Evolution.

Ioannis Panageas, Nisheeth K. Vishnoi

Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016

The Computational Complexity of Genetic Diversity.

Ruta Mehta, Ioannis Panageas, Georgios Piliouras, Sadra Yazdanbod

Proceedings of the 24th Annual European Symposium on Algorithms, 2016

2015

The game of survival: Sexual evolution in dynamic environments.

Ruta Mehta, Ioannis Panageas, Georgios Piliouras, Prasad Tetali, Vijay V. Vazirani

CoRR, 2015

Natural Selection as an Inhibitor of Genetic Diversity: Multiplicative Weights Updates Algorithm and a Conjecture of Haploid Genetics [Working Paper Abstract].

Ruta Mehta, Ioannis Panageas, Georgios Piliouras

Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015

2014

Average Case Equilibria.

Ioannis Panageas, Georgios Piliouras

CoRR, 2014

The Complexity of Genetic Diversity: Sex with Two Chromosomes is Advantageous but Unpredictable.

Ruta Mehta, Ioannis Panageas, Georgios Piliouras, Sadra Yazdanbod

CoRR, 2014

Natural Selection as an Inhibitor of Genetic Diversity: Multiplicative Weights Updates Algorithm and a Conjecture of Haploid Genetics.

Ruta Mehta, Ioannis Panageas, Georgios Piliouras

CoRR, 2014

2013

Support-theoretic subgraph preconditioners for large-scale SLAM.

Yong-Dian Jian, Doru Balcan, Ioannis Panageas, Prasad Tetali, Frank Dellaert

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013