Georgios Piliouras
Orcid: 0000-0002-6236-3566Affiliations:
- Singapore University of Technology and Design
According to our database1,
Georgios Piliouras
authored at least 162 papers
between 2009 and 2024.
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Bibliography
2024
Convex Markov Games: A Framework for Fairness, Imitation, and Creativity in Multi-Agent Learning.
CoRR, 2024
States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers.
CoRR, 2024
Proceedings of the 25th ACM Conference on Economics and Computation, 2024
Proceedings of the Algorithmic Game Theory - 17th International Symposium, 2024
Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Workshop on Decentralized Finance and Security, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Auton. Agents Multi Agent Syst., October, 2023
Catastrophe by Design in Population Games: A Mechanism to Destabilize Inefficient Locked-in Technologies.
ACM Trans. Economics and Comput., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games.
CoRR, 2023
CoRR, 2023
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps.
Proceedings of the 2023 Symposium on Simplicity in Algorithms, 2023
Proceedings of the 24th ACM Conference on Economics and Computation, 2023
Proceedings of the 24th ACM Conference on Economics and Computation, 2023
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Financial Cryptography and Data Security, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Routing Games in the Wild: Efficiency, Equilibration, Regret, and a Price of Anarchy Bound via Long Division.
ACM Trans. Economics and Comput., 2022
J. Artif. Intell. Res., 2022
CoRR, 2022
CoRR, 2022
Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory.
Artif. Intell., 2022
Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games.
Proceedings of the Algorithmic Game Theory - 15th International Symposium, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 3rd International Conference on Mathematical Research for Blockchain Economy, 2022
Proceedings of the 3rd International Conference on Mathematical Research for Blockchain Economy, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Optimal No-Regret Learning in General Games: Bounded Regret with Unbounded Step-Sizes via Clairvoyant MWU.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the 2021 IEEE International Conference on Blockchain, 2021
A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs.
Proceedings of the 2021 IEEE International Conference on Blockchain, 2021
Proceedings of the AFT '21: 3rd ACM Conference on Advances in Financial Technologies, Arlington, Virginia, USA, September 26, 2021
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Engineering Management, 2020
Int. J. Netw. Manag., 2020
Do Cryptocurrency Prices Camouflage Latent Economic Effects? A Bayesian Hidden Markov Approach.
Future Internet, 2020
Catastrophe by Design in Population Games: Destabilizing Wasteful Locked-in Technologies.
CoRR, 2020
Catastrophe by Design in Population Games: Destabilizing WastefulLocked-In Technologies.
Proceedings of the Web and Internet Economics - 16th International Conference, 2020
Data-Driven Models of Selfish Routing: Why Price of Anarchy Does Depend on Network Topology.
Proceedings of the Web and Internet Economics - 16th International Conference, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent.
Proceedings of the Conference on Learning Theory, 2020
Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
Broken Detailed Balance and Non-Equilibrium Dynamics in Noisy Social Learning Models.
CoRR, 2019
The route to chaos in routing games: Population increase drives period-doubling instability, chaos & inefficiency with Price of Anarchy equal to one.
CoRR, 2019
CoRR, 2019
From Darwin to Poincaré and von Neumann: Recurrence and Cycles in Evolutionary and Algorithmic Game Theory.
Proceedings of the Web and Internet Economics - 15th International Conference, 2019
Proceedings of the 36th International Symposium on Theoretical Aspects of Computer Science, 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
First-order methods almost always avoid saddle points: The case of vanishing step-sizes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 1st International Conference on Mathematical Research for Blockchain Economy, 2019
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games.
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
Games, 2018
From Nash Equilibria to Chain Recurrent Sets: An Algorithmic Solution Concept for Game Theory.
Entropy, 2018
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
Three Body Problems in Evolutionary Game Dynamics: Convergence, Periodicity and Limit Cycles.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
2017
CoRR, 2017
Learning Agents in Black-Scholes Financial Markets: Consensus Dynamics and Volatility Smiles.
CoRR, 2017
Routing Games in the Wild: Efficiency, Equilibration and Regret - Large-Scale Field Experiments in Singapore.
Proceedings of the Web and Internet Economics - 13th International Conference, 2017
Bifurcation Mechanism Design - from Optimal Flat Taxes to Improved Cancer Treatments.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos.
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.
Proceedings of the 8th Innovations in Theoretical Computer Science Conference, 2017
Proceedings of the 8th Innovations in Theoretical Computer Science Conference, 2017
2016
ACM Trans. Economics and Comput., 2016
CoRR, 2016
Average Case Performance of Replicator Dynamics in Potential Games via Computing Regions of Attraction.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016
Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, 2016
Proceedings of the 24th Annual European Symposium on Algorithms, 2016
Inferring Activities and Optimal Trips: Lessons From Singapore's National Science Experiment.
Proceedings of the Complex Systems Design & Management Asia - Smart Nations, 2016
2015
Proceedings of the Algorithmic Game Theory - 8th International Symposium, 2015
Natural Selection as an Inhibitor of Genetic Diversity: Multiplicative Weights Updates Algorithm and a Conjecture of Haploid Genetics [Working Paper Abstract].
Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015
2014
ACM Trans. Economics and Comput., 2014
The Complexity of Genetic Diversity: Sex with Two Chromosomes is Advantageous but Unpredictable.
CoRR, 2014
Natural Selection as an Inhibitor of Genetic Diversity: Multiplicative Weights Updates Algorithm and a Conjecture of Haploid Genetics.
CoRR, 2014
Optimization Despite Chaos: Convex Relaxations to Complex Limit Sets via Poincaré Recurrence.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
2012
Minimally invasive mechanism design: Distributed covering with carefully chosen advice.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
CoRR, 2011
Proceedings of the Innovations in Computer Science, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
A learning theoretic approach to algorithmic game theory.
PhD thesis, 2010
Proceedings of the Internet and Network Economics - 6th International Workshop, 2010
Proceedings of the Algorithmic Game Theory - Third International Symposium, 2010
2009
Multiplicative updates outperform generic no-regret learning in congestion games: extended abstract.
Proceedings of the 41st Annual ACM Symposium on Theory of Computing, 2009