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2020 – today
- 2024
[c44]Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property. AAAI 2024: 9451-9459- [c43]Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas:
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints. AAAI 2024: 9874-9882 - [c42]Nikolas Patris, Ioannis Panageas:
Learning Nash Equilibria in Rank-1 Games. ICLR 2024 - [c41]Iosif Sakos, Stefanos Leonardos, Stelios Andrew Stavroulakis, Will Overman, Ioannis Panageas, Georgios Piliouras:
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games. ICLR 2024 - [c40]Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos, Panayotis Mertikopoulos, Aris Pagourtzis, Ioannis Panageas:
The Computational Complexity of Finding Second-Order Stationary Points. ICML 2024 - [i40]Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher:
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games. CoRR abs/2401.09628 (2024) - [i39]Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas:
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints. CoRR abs/2402.07797 (2024) - [i38]Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang:
Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games. CoRR abs/2406.10605 (2024) - [i37]Fivos Kalogiannis, Jingming Yan, Ioannis Panageas:
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem. CoRR abs/2410.05673 (2024) - 2023
- [c39]Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu:
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach. AAAI 2023: 9260-9267 - [c38]Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis
, Vaggos Chatziafratis, Stelios Andrew Stavroulakis:
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. ICLR 2023 - [c37]Fivos Kalogiannis, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis:
Towards convergence to Nash equilibria in two-team zero-sum games. ICLR 2023 - [c36]Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher:
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML 2023: 26904-26930 - [c35]Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games. NeurIPS 2023 - [c34]Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang:
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails. NeurIPS 2023 - [c33]Fivos Kalogiannis, Ioannis Panageas:
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria. NeurIPS 2023 - [c32]Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher:
Exponential Lower Bounds for Fictitious Play in Potential Games. NeurIPS 2023 - [c31]Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer:
Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. EC 2023: 89 - [i36]Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer:
Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. CoRR abs/2301.02129 (2023) - [i35]Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games. CoRR abs/2301.11241 (2023) - [i34]Fivos Kalogiannis, Ioannis Panageas:
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria. CoRR abs/2305.14329 (2023) - [i33]Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher:
Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. CoRR abs/2306.15543 (2023) - [i32]Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher:
Exponential Lower Bounds for Fictitious Play in Potential Games. CoRR abs/2310.02387 (2023) - [i31]Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang:
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails. CoRR abs/2310.02604 (2023) - [i30]Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property. CoRR abs/2312.12067 (2023) - 2022
- [c30]Roy Fox, Stephen M. McAleer, Will Overman, Ioannis Panageas:
Independent Natural Policy Gradient always converges in Markov Potential Games. AISTATS 2022: 4414-4425 - [c29]Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras:
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games. ICLR 2022 - [c28]Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
On Last-Iterate Convergence Beyond Zero-Sum Games. ICML 2022: 536-581 - [c27]Yi Feng, Ioannis Panageas, Xiao Wang:
Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always. IJCAI 2022: 1811-1817 - [c26]Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm:
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games. NeurIPS 2022 - [c25]Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Stavroulakis:
On Scrambling Phenomena for Randomly Initialized Recurrent Networks. NeurIPS 2022 - [c24]Ioannis Anagnostides, Ioannis Panageas:
Frequency-Domain Representation of First-Order Methods: A Simple and Robust Framework of Analysis. SOSA 2022: 131-160 - [i29]Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
On Last-Iterate Convergence Beyond Zero-Sum Games. CoRR abs/2203.12056 (2022) - [i28]Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm:
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games. CoRR abs/2203.12074 (2022) - [i27]Yi Feng, Ioannis Panageas, Xiao Wang:
Accelerated Multiplicative Weights Update Avoids Saddle Points almost always. CoRR abs/2204.11407 (2022) - [i26]Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Vaggos Chatziafratis, Stelios Stavroulakis:
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. CoRR abs/2208.02204 (2022) - [i25]Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Andrew Stavroulakis:
On Scrambling Phenomena for Randomly Initialized Recurrent Networks. CoRR abs/2210.05212 (2022) - 2021
- [c23]Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. AISTATS 2021: 1441-1449 - [c22]Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan, Ioannis Panageas:
Efficient Statistics for Sparse Graphical Models from Truncated Samples. AISTATS 2021: 1450-1458 - [i24]Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras:
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games. CoRR abs/2106.01969 (2021) - [i23]Ioannis Panageas, Thorben Tröbst, Vijay V. Vazirani:
Combinatorial Algorithms for Matching Markets via Nash Bargaining: One-Sided, Two-Sided and Non-Bipartite. CoRR abs/2106.02024 (2021) - [i22]Roy Fox, Stephen McAleer, Will Overman, Ioannis Panageas:
Independent Natural Policy Gradient Always Converges in Markov Potential Games. CoRR abs/2110.10614 (2021) - [i21]Fivos Kalogiannis, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis:
Teamwork makes von Neumann work: Min-Max Optimization in Two-Team Zero-Sum Games. CoRR abs/2111.04178 (2021) - 2020
- [c21]Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Logistic regression with peer-group effects via inference in higher-order Ising models. AISTATS 2020: 3653-3663 - [c20]Sai Ganesh Nagarajan, Ioannis Panageas:
On the Analysis of EM for truncated mixtures of two Gaussians. ALT 2020: 634-659 - [c19]Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. ICLR 2020 - [c18]Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas:
Better depth-width trade-offs for neural networks through the lens of dynamical systems. ICML 2020: 1469-1478 - [c17]Xiao Wang, Qi Lei, Ioannis Panageas:
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev. NeurIPS 2020 - [i20]Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. CoRR abs/2002.06768 (2020) - [i19]Ioannis Panageas, Stratis Skoulakis, Antonios Varvitsiotis, Xiao Wang:
Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently. CoRR abs/2002.11323 (2020) - [i18]Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas:
Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems. CoRR abs/2003.00777 (2020) - [i17]Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Logistic-Regression with peer-group effects via inference in higher order Ising models. CoRR abs/2003.08259 (2020) - [i16]Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan, Ioannis Panageas:
Efficient Statistics for Sparse Graphical Models from Truncated Samples. CoRR abs/2006.09735 (2020) - [i15]Xiao Wang, Qi Lei, Ioannis Panageas:
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev. CoRR abs/2010.05263 (2020)
2010 – 2019
- 2019
- [j1]Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Max Simchowitz, Michael I. Jordan, Benjamin Recht:
First-order methods almost always avoid strict saddle points. Math. Program. 176(1-2): 311-337 (2019) - [c16]Ioannis Panageas, Georgios Piliouras, Xiao Wang:
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always. ICML 2019: 4961-4969 - [c15]Constantinos Daskalakis, Ioannis Panageas:
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization. ITCS 2019: 27:1-27:18 - [c14]Ioannis Panageas, Georgios Piliouras, Xiao Wang:
First-order methods almost always avoid saddle points: The case of vanishing step-sizes. NeurIPS 2019: 6471-6480 - [c13]Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Regression from dependent observations. STOC 2019: 881-889 - [i14]Sai Ganesh Nagarajan, Ioannis Panageas:
On the Convergence of EM for truncated mixtures of two Gaussians. CoRR abs/1902.06958 (2019) - [i13]Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Regression from Dependent Observations. CoRR abs/1905.03353 (2019) - [i12]Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. CoRR abs/1912.04378 (2019) - 2018
- [c12]Constantinos Daskalakis, Ioannis Panageas:
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization. NeurIPS 2018: 9256-9266 - [c11]Tung Mai, Milena Mihail, Ioannis Panageas, Will Ratcliff, Vijay V. Vazirani, Peter Yunker:
Cycles in Zero-Sum Differential Games and Biological Diversity. EC 2018: 339-350 - [i11]Constantinos Daskalakis, Ioannis Panageas:
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization. CoRR abs/1807.03907 (2018) - [i10]Constantinos Daskalakis, Ioannis Panageas:
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization. CoRR abs/1807.04252 (2018) - 2017
- [c10]Tung Mai, Ioannis Panageas, Vijay V. Vazirani:
Opinion Dynamics in Networks: Convergence, Stability and Lack of Explosion. ICALP 2017: 140:1-140:14 - [c9]Ioannis Panageas, Georgios Piliouras:
Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions. ITCS 2017: 2:1-2:12 - [c8]Ruta Mehta, Ioannis Panageas, Georgios Piliouras, Prasad Tetali, Vijay V. Vazirani:
Mutation, Sexual Reproduction and Survival in Dynamic Environments. ITCS 2017: 16:1-16:29 - [c7]Gerasimos Palaiopanos, Ioannis Panageas, Georgios Piliouras:
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos. NIPS 2017: 5872-5882 - [i9]Gerasimos Palaiopanos, Ioannis Panageas, Georgios Piliouras:
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos. CoRR abs/1703.01138 (2017) - [i8]Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Max Simchowitz, Michael I. Jordan, Benjamin Recht:
First-order Methods Almost Always Avoid Saddle Points. CoRR abs/1710.07406 (2017) - [i7]Tung Mai, Ioannis Panageas, Will Ratcliff, Vijay V. Vazirani, Peter Yunker:
Rock-Paper-Scissors, Differential Games and Biological Diversity. CoRR abs/1710.11249 (2017) - 2016
- [c6]Ruta Mehta, Ioannis Panageas, Georgios Piliouras, Sadra Yazdanbod:
The Computational Complexity of Genetic Diversity. ESA 2016: 65:1-65:17 - [c5]Ioannis Panageas, Nisheeth K. Vishnoi:
Mixing Time of Markov Chains, Dynamical Systems and Evolution. ICALP 2016: 63:1-63:14 - [c4]Ioannis Panageas, Georgios Piliouras:
Average Case Performance of Replicator Dynamics in Potential Games via Computing Regions of Attraction. EC 2016: 703-720 - [c3]Ioannis Panageas, Piyush Srivastava, Nisheeth K. Vishnoi:
Evolutionary Dynamics in Finite Populations Mix Rapidly. SODA 2016: 480-497 - [i6]Ioannis Panageas, Georgios Piliouras:
Gradient Descent Converges to Minimizers: The Case of Non-Isolated Critical Points. CoRR abs/1605.00405 (2016) - [i5]Tung Mai, Ioannis Panageas, Vijay V. Vazirani:
Opinion Dynamics in Networks: Convergence, Stability and Lack of Explosion. CoRR abs/1607.03881 (2016) - 2015
- [c2]Ruta Mehta, Ioannis Panageas, Georgios Piliouras:
Natural Selection as an Inhibitor of Genetic Diversity: Multiplicative Weights Updates Algorithm and a Conjecture of Haploid Genetics [Working Paper Abstract]. ITCS 2015: 73 - [i4]Ruta Mehta, Ioannis Panageas, Georgios Piliouras, Prasad Tetali, Vijay V. Vazirani:
The game of survival: Sexual evolution in dynamic environments. CoRR abs/1511.01409 (2015) - 2014
- [i3]Ioannis Panageas, Georgios Piliouras:
Average Case Equilibria. CoRR abs/1403.3885 (2014) - [i2]Ruta Mehta, Ioannis Panageas, Georgios Piliouras:
Natural Selection as an Inhibitor of Genetic Diversity: Multiplicative Weights Updates Algorithm and a Conjecture of Haploid Genetics. CoRR abs/1408.6270 (2014) - [i1]Ruta Mehta, Ioannis Panageas, Georgios Piliouras, Sadra Yazdanbod:
The Complexity of Genetic Diversity: Sex with Two Chromosomes is Advantageous but Unpredictable. CoRR abs/1411.6322 (2014) - 2013
- [c1]Yong-Dian Jian, Doru Balcan, Ioannis Panageas, Prasad Tetali, Frank Dellaert:
Support-theoretic subgraph preconditioners for large-scale SLAM. IROS 2013: 9-16
Coauthor Index
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