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@article{lanctot2025soft, title={Soft Condorcet Optimization for Ranking of General Agents}, author={Lanctot, Marc and Larson, Kate and Kaisers, Michael and Berthet, Quentin and Gemp, Ian and Diaz, Manfred and Maura-Rivero, Roberto-Rafael and Bachrach, Yoram and Koop, Anna and Precup, Doina}, journal={AAMAS}, year={2025} }
@article{kempinski2025got, title={Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models}, author={Kempinski, Benjamin and Gemp, Ian and Larson, Kate and Lanctot, Marc and Bachrach, Yoram and Kachman, Tal}, journal={AAMAS}, year={2025} }
@article{gemp2024stories, title={Charting the Shapes of Stories with Game Theory}, author={Daskalakis, Constantinos and Gemp, Ian and Jiang, Yanchen and Paes Leme, Renato, Papadimitriou, Christos and Piliouras, Georgios}, journal={Thirty-Eighth Conference on Neural Information Processing Systems: Creative AI Track}, year={2024} }
@article{gemp2024nash, title={Nash Equilibria via Stochastic Eigendecomposition}, author={Gemp, Ian}, journal={arXiv preprint arXiv:2411.02308}, year={2024} }
@article{gemp2024convex, title={Convex Markov Games: A Framework for Fairness, Imitation, and Creativity in Multi-Agent Learning}, author={Gemp, Ian and Haupt, Andreas and Marris, Luke and Liu, Siqi and Piliouras, Georgios}, journal={arXiv preprint arXiv:2410.16600}, year={2024} }
@article{marris2024visualizing, title={Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package}, author={Marris, Luke and Gemp, Ian and Liu, Siqi and Leibo, Joel Z and Piliouras, Georgios}, journal={arXiv preprint arXiv:2402.16985}, year={2024} }
@inproceedings{liunfgtransformer, title={NfgTransformer: Equivariant Representation Learning for Normal-form Games}, author={Liu, Siqi and Marris, Luke and Piliouras, Georgios and Gemp, Ian and Heess, Nicolas}, booktitle={The Twelfth International Conference on Learning Representations} }
@article{gemp2024approximating, title={Approximating the Core via Iterative Coalition Sampling}, author={Gemp, Ian and Lanctot, Marc and Marris, Luke and Mao, Yiran and Du{\'e}{\~n}ez-Guzm{\'a}n, Edgar and Perrin, Sarah and Gyorgy, Andras and Elie, Romuald and Piliouras, Georgios and Kaisers, Michael and others}, journal={arXiv preprint arXiv:2402.03928}, year={2024} }
@inproceedings{gemp2024steering, title={Steering Language Models with Game-Theoretic Solvers}, author={Gemp, Ian and Patel, Roma and Bachrach, Yoram and Lanctot, Marc and Dasagi, Vibhavari and Marris, Luke and Piliouras, Georgios and Liu, Siqi and Tuyls, Karl}, booktitle={Agentic Markets Workshop at ICML 2024}, year={2024} }
@inproceedings{jiralerspong2023feature, title={Feature likelihood divergence: evaluating the generalization of generative models using samples}, author={Jiralerspong, Marco and Bose, Joey and Gemp, Ian and Qin, Chongli and Bachrach, Yoram and Gidel, Gauthier}, booktitle={Thirty-seventh Conference on Neural Information Processing Systems} }
@inproceedings{gempapproximating, title={Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization}, author={Gemp, Ian and Marris, Luke and Piliouras, Georgios}, booktitle={The Twelfth International Conference on Learning Representations} }
@inproceedings{kwon2023auto, title={Auto-aligning multiagent incentives with global objectives}, author={Kwon, Minae and Agapiou, John P and Du{\'e}{\~n}ez-Guzm{\'a}n, Edgar A and Elie, Romuald and Piliouras, Georgios and Bullard, Kalesha and Gemp, Ian}, booktitle={AAMAS Workshop on Adaptive and Learning Agents (ALA)} }
@inproceedings{goktasgenerative, title={Generative Adversarial Equilibrium Solvers}, author={Goktas, Denizalp and Parkes, David C and Gemp, Ian and Marris, Luke and Piliouras, Georgios and Elie, Romuald and Lever, Guy and Tacchetti, Andrea}, booktitle={The Twelfth International Conference on Learning Representations} }
@article{li2023combining, title={Combining tree-search, generative models, and Nash bargaining concepts in game-theoretic reinforcement learning}, author={Li, Zun and Lanctot, Marc and McKee, Kevin R and Marris, Luke and Gemp, Ian and Hennes, Daniel and Muller, Paul and Larson, Kate and Bachrach, Yoram and Wellman, Michael P}, journal={arXiv preprint arXiv:2302.00797}, year={2023} }
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@article{marris2023equilibrium, title={Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of $2\times2 $ Normal-Form Games}, author={Marris, Luke, Ian Gemp, and Georgios Piliouras}, journal={arXiv preprint arXiv:2304.09978}, year={2023} }
@article{du2023alphasnake, title={Alpha{S}nake: Policy Iteration on a Nondeterministic {NP}-hard {M}arkov Decision Process}, author={Du, Kevin and Gemp, Ian and Wu, Yi and Wu, Yingying}, booktitle={AAAI 2023 Student Abstract and Poster Program}, year={2023} }
@article{gemp2023generalized, title={The Symmetric Generalized Eigenvalue Problem as a {N}ash Equilibrium}, author={Gemp, Ian and Chen, Charlie and McWilliams, Brian}, journal={ICLR}, year={2023} }
@article{marris2022nes, title={Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers}, author={Marris, Luke and Gemp, Ian and Anthony, Thomas and Tacchetti, Andrea and Liu, Siqi and Tuyls, Karl}, journal={NeurIPS}, year={2022} }
@article{gemp2022allpay, title={Designing all-pay auctions using deep learning and multi-agent simulation}, author={Gemp, Ian and Anthony, Thomas and Kramar, Janos and Eccles, Tom and Tacchetti, Andrea and Bachrach, Yoram}, journal={Scientific Reports}, volume={12}, number={1}, pages={1--15}, year={2022}, publisher={Nature Publishing Group} }
@article{marris2022game, title={Game Theoretic Rating in N-player general-sum games with Equilibria}, author={Marris, Luke and Lanctot, Marc and Gemp, Ian and Omidshafiei, Shayegan and McAleer, Stephen and Connor, Jerome and Tuyls, Karl and Graepel, Thore}, journal={arXiv preprint arXiv:2210.02205}, year={2022} }
@article{van2022stochastic, title={Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering}, author={van der Pol, Elise and Gemp, Ian and Bachrach, Yoram and Everett, Richard}, journal={arXiv preprint arXiv:2207.14589}, year={2022} }
@inproceedings{yu2022teamwork, title={Teamwork Reinforcement Learning with Concave Utilities}, author={Yu, Zheng and Zhang, Junyu and Wen, Zheng and Tacchetti, Andrea and Wang, Mengdi and Gemp, Ian}, booktitle={ICLR 2022 Workshop on Gamification and Multiagent Solutions}, year={2022} }
@article{dmgamma2022, title={Developing, evaluating and scaling learning agents in multi-agent environments}, author={Gemp, Ian and Anthony, Thomas and Bachrach, Yoram and Bhoopchand, Avishkar and Bullard, Kalesha and Connor, Jerome and Dasagi, Vibhavari and De Vylder, Bart and Du{\'e}{\~n}ez-Guzm{\'a}n, Edgar A and Elie, Romuald and Everett, Richard and Hennes, Daniel and Hughes, Edward and Khan, Mina and Lanctot, Marc and Larson, Kate and Lever, Guy and Liu, Siqi and Marris, Luke and McKee, Kevin R. and Muller, Paul and Pérolat, Julien and Tacchetti, Andrea and Tarassov, Eugene and Wang, Zhe and Tuyls, Karl}, journal={AI Communications}, number={Preprint}, pages={1--14}, year={2022}, publisher={IOS Press} }
@article{gemp2022mueigengame, author={Gemp, Ian and McWilliams, Brian and Vernade, Claire and Graepel, Thore}, title = {EigenGame Unloaded: When playing games is better than optimizing}, year = {2022}, journal = {ICLR}, }
@article{gemp2022adidas, author={Gemp, Ian and Savani, Rahul and Lanctot, Marc and Bachrach, Yoram and Anthony, Thomas and Everett, Richard and Tacchetti, Andrea and Eccles, Tom and Kramár, János}, title = {Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent}, year = {2022} journal = {AAMAS}, }
@article{bachrachneural, author={Bachrach, Yoram and Gemp, Ian and Garnelo, Marta and Kramar, Janos and Eccles, Tom and Rosenbaum, Dan and Graepel, Thore}, title={A Neural Network Auction For Group Decision Making Over a Continuous Space}, year = {2021} journal = {IJCAI-21 Demonstrations Track}, } }
@article{gemp2021eigengame, author={Gemp, Ian and McWilliams, Brian and Vernade, Claire and Graepel, Thore}, title = {EigenGame: PCA as a Nash Equilibrium}, year = {2021}, journal = {ICLR}, }
@inproceedings{patel2021game, title={Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index}, author={Patel, Roma and Garnelo, Marta and Gemp, Ian and Dyer, Chris and Bachrach, Yoram}, booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies}, pages={2789--2798}, year={2021} }
@article{gempmcwilliams2019adamcycles, author={Gemp, Ian and McWilliams, Brian}, title = {The Unreasonable Effectiveness of Adam on Cycles}, year = {2019} journal = {NeurIPS Workshop: Bridging Game Theory & Deep Learning}, }
@article{gemp2018thesis, author={Gemp, Ian}, title = {From Optimization to Equilibration: Understanding an Emerging Paradigm in Artificial Intelligence and Machine Learning}, year = {2018} journal = {UMass Amherst Technical Report}, }
@article{gemp2018crosscurl, author={Gemp, Ian and Mahadevan, Sridhar}, title = {Global Convergence to the Equilibrium of GANs using Variational Inequalities}, year = {2018} journal = {arXiv preprint arXiv:1808.01531}, }
@article{liu2018proximal, title={Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity}, author={Liu, Bo and Gemp, Ian and Ghavamzadeh, Mohammad and Liu, Ji and Mahadevan, Sridhar and Petrik, Marek}, journal={Journal of Artificial Intelligence Research}, volume={63}, pages={461--494}, year={2018} }
@article{gemp2017nips, author={Gemp, Ian and Parente, Mario and Mahadevan, Sridhar}, title = {Inverting VAEs for Improved Generative Accuracy}, year = {2017} journal = {NIPS Workshop: Advances in Approximate Bayesian Inference}, }
@article{gemp2017omg, author={Gemp, Ian and Mahadevan, Sridhar}, title = {Online Monotone Games}, year = {2017} journal = {arXiv preprint arXiv:1710.07328}, }
@article{gemp2017untapped, author={Gemp, Ian and Parente, Mario and Durugkar, Ishan and Dyar, Darby and Mahadevan, Sridhar}, title = {Inverting Variational Autoencoders for Improved Generative Accuracy}, year = {2017} journal = {arXiv preprint arXiv:1608.05983}, }
@article{durugkargemp2017gman, author={Durugkar, Ishan and Gemp, Ian and Mahadevan, Sridhar}, title = {Generative Multi-Adversarial Networks}, year = {2017} journal = {ICLR}, }
@article{gemp2017datacleanse, author={Gemp, Ian and Theocharous, Georgios and Ghavamzadeh, Mohammad}, title = {Automated Data Cleansing through Meta-Learning}, year = {2017} journal = {IAAI}, }
@article{gemp2016online, author={Gemp, Ian and Mahadevan, Sridhar}, title = {Online Monotone Optimization}, year = {2016} journal = {arXiv preprint arXiv:1608.07888}, }
@article{gemp2015nonconcave, author={Gemp, Ian}, title = {Exploring the Dynamics of Variational Inequality Games with Non-Concave Utilities}, year = {2015} booktitle={NIPS Workshop: Learning, Inference, and Control of Multi-Agent Systems}, }
@article{gemp2015games, author={Gemp, Ian and Mahadevan, Sridhar}, title = {Finding Equilibria in Large Games using Variational Inequalities}, year = {2015} booktitle={AAAI Spring Symposium}, }
@article{gemp2015supplychain, author={Gemp, Ian and Mahadevan, Sridhar and Liu, Bo}, title = {Solving Large Sustainable Supply Chain Networks using Variational Inequalities}, year = {2015} booktitle={AAAI Workshop: Computational Sustainability}, }
@article{gemp2014context, author={Gemp, Ian and Mahadevan, Sridhar}, title = {Modeling Context in Cognition using Variational Inequalities}, year = {2014} booktitle={AAAI Fall Symposium}, }
@article{mahadevan2014proximal, author={Mahadevan, Sridhar and Liu, Bo and Thomas, Philip and Dabney, Will and Giguere, Steve and Jacek, Nicholas and Gemp, Ian and Liu, Ji}, title = {Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces}, year = {2014}, journal={arXiv preprint arXiv:1405.6757}, }
@article{gemp2011cadherin, title={Cadherin-dependent cell morphology in an epithelium: constructing a quantitative dynamical model}, author={Gemp, Ian M and Carthew, Richard W and Hilgenfeldt, Sascha}, journal={PLoS computational biology}, volume={7}, number={7}, pages={e1002115}, year={2011}, publisher={Public Library of Science} }
@article{duncan2010quantitative, title={Quantitative analysis of synaptic release at the photoreceptor synapse}, author={Duncan, Gabriel and Rabl, Katalin and Gemp, Ian and Heidelberger, Ruth and Thoreson, Wallace B}, journal={Biophysical journal}, volume={98}, number={10}, pages={2102--2110}, year={2010}, publisher={Elsevier} }