Publications

A Path Toward AI Superforecasters.

Denizalp Goktas, Gerardo Riano, Amy Greenwald.

Technical white paper, 2026.

White paper, 2026

Infinite Horizon Markov Economies.

Denizalp Goktas, Sadie Zhao, Yiling Chen, Amy Greenwald.

Proceedings of the International Conference on Learning Representations (ICLR'26).

ICLR'26

Bilevel Policy Optimization with Nyström Hypergradients.

Arjun Prakash, Naicheng He, Denizalp Goktas, Amy Greenwald.

Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems 2026 (AAMAS'26).

AAMAS'26

Chronax: A Jax Library for Univariate Statistical Forecasting and Conformal Inference.

Xan Carey, Yash Deshmukh, Aileen Huang, Sunit Jadhav, Omkar Tekawade, Lorraine Yang, Anvesha Tiwary, Gerardo Riano, Amy Greenwald, Denizalp Goktas.

Preprint, 2026.

Preprint, 2026

Likelihood-Aligned Forecast Networks.

Denizalp Goktas, Gerardo Riano, Amy Greenwald.

Appeared in the Conference on Neural Information Processing Systems (NeurIPS'25) workshop on "Recent Advances in Time Series Foundation Models: Have We Reached the 'BERT Moment'?", 2025.

NeurIPS'25 Workshop

TempusBench: An Evaluation Framework for Time-Series Forecasting.

Denizalp Goktas, Gerardo Riano, Alif Abdullah, Aryan Nair, Chenkai Shen, Beatriz de Lucio, Alexandra Magnusson, Farhan Mashrur, Ahmed Abdulla, Shawrna Sen, Mahitha Thippireddy, Gregory Schwartz, Amy Greenwald.

Appeared in the Conference on Neural Information Processing Systems (NeurIPS'25) workshop on "Recent Advances in Time Series Foundation Models: Have We Reached the 'BERT Moment'?", 2025.

NeurIPS'25 Workshop

An Algorithmic Theory of General Equilibrium.

Denizalp Goktas.

PhD thesis, 2025.

PhD thesis, 2025

Tractable General Equilibrium.

Denizalp Goktas, Klára Chura, Alp Emin Guneri, Amy Greenwald.

Appeared in the 2026 Econometric Society Interdisciplinary Frontier Economics and AI+ML Meeting (ESIF-AIML'26).

ESIF-AIML'26

Building Auctions from Fair Division Mechanisms.

Ryan Edmonds, Denizalp Goktas, Gianluca Brero, Amy Greenwald.

Appeared in the Games, Agents, and Incentives Workshop 2025 at the International Conference on Autonomous Agents and Multi-Agent Systems 2025 (AAMAS'25).

AAMAS'25 Workshop

Flow-Based Synthesis of Reactive Tests for Discrete Decision-Making Systems with Temporal Logic Specifications.

Josefine B. Graebener, Apurva S. Badithela, Denizalp Goktas, Wyatt Ubellacker, Eric V. Mazumdar, Aaron D. Ames, Richard M. Murray.

IEEE Open Journal of Control Systems (OJCSYS), 2025.

IEEE OJCSYS, 2025

Strategic Foundation Models.

Denizalp Goktas, Amy Greenwald, Takayuki Osogami, Roma Patel, Kevin Leyton-Brown, Grant Schoenebeck, Daphne Cornelisse, Constantinos Daskalakis, Ian Gemp, John Horton, David C Parkes, David M Pennock, Arjun Prakash, Sai Srivatsa Ravindranath, Max Olan Smith, Gokul Swamy, Eugene Vinitsky, Segev Wasserkrug, Michael Wellman, Jibang Wu, Haifeng Xu, Jiayao Zhang, Yichi Zhang, Sadie Zhao, Quanyan Zhu.

Position paper, 2025.

Position paper, 2025

Efficient Inverse Multiagent Learning.

Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh.

Proceedings of the International Conference on Learning Representations (ICLR'24).

ICLR'24 Spotlight talk at ICLR'24.

STA-RLHF: Stackelberg Aligned Reinforcement Learning with Human Feedback.

Jacob Makar-Limanov, Arjun Prakash, Denizalp Goktas, Nora Ayanian, Amy Greenwald.

Appeared in the Coordination and Cooperation for Multi-Agent Reinforcement Learning Methods Workshop at the Reinforcement Learning Conference (RLC'24).

RLC'24 Workshop Oral presentation.

Banzhaf Power in Hierarchical Games.

John Randolph, Denizalp Goktas, Amy Greenwald.

Extended abstract in the Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems 2024 (AAMAS'24).

AAMAS'24

Generative Adversarial Equilibrium Solvers.

Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti.

Proceedings of the International Conference on Learning Representations (ICLR'24).

ICLR'24 Invited talk at the Equilibrium Computation Workshop at Economics and Computation 2023 (EC'23).

Convex-Concave Zero-Sum Markov Stackelberg Games.

Denizalp Goktas, Arjun Prakash, Amy Greenwald.

Appeared in the Northeastern Robotics Colloquium (NERC'23).

Proceedings of the Conference on Neural Information Processing Systems (NeurIPS'23).

NeurIPS'23

Tâtonnement in Homothetic Fisher Markets.

Denizalp Goktas, Sadie Zhao, Amy Greenwald.

Proceedings of the 24th ACM Conference on Economics and Computation (EC'23).

EC'23

Fisher Markets with Social Influence.

Sadie Zhao, Denizalp Goktas, Amy Greenwald.

Proceedings of the Conference of the Association for the Advancement of Artificial Intelligence (AAAI'23).

AAAI'23

Exploitability Minimization in Games and Beyond.

Denizalp Goktas, Amy Greenwald.

Proceedings of the Conference on Neural Information Processing Systems (NeurIPS'22).

NeurIPS'22

Zero-Sum Stochastic Stackelberg Games.

Denizalp Goktas, Sadie Zhao, Amy Greenwald.

Appeared in the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM'22).

Appeared in the ICLR Gamification and Multiagent Solutions Workshop (ICLR'22).

Proceedings of the Conference on Neural Information Processing Systems (NeurIPS'22).

NeurIPS'22

An Algorithmic Theory of Markets and their Application to Decentralized Markets.

Denizalp Goktas.

Proceedings of the Conference of the Association for the Advancement of Artificial Intelligence (AAAI'22).

AAAI'22

Robust No-Regret Learning in Min-Max Stackelberg Games.

Denizalp Goktas, Sadie Zhao, Amy Greenwald.

Appeared in the AAAI-22 Workshop on Adversarial Machine Learning and Beyond.

Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems 2022 (AAMAS'22).

AAMAS'22

Gradient Descent Ascent in Min-Max Stackelberg Games.

Denizalp Goktas, Amy Greenwald.

Appeared in the Games, Agents, and Incentives Workshop 2022 at the International Conference on Autonomous Agents and Multi-Agent Systems 2022 (AAMAS'22).

AAMAS'22 Workshop

Convex-Concave Min-Max Stackelberg Games.

Denizalp Goktas, Amy Greenwald.

Proceedings of the Conference on Neural Information Processing Systems (NeurIPS'21).

NeurIPS'21

A Consumer-Theoretic Characterization of Fisher Market Equilibria.

Denizalp Goktas, Enrique Areyan Viqueira, Amy Greenwald.

Contributed poster at the Twenty-Second ACM Conference on Economics and Computation (EC'21).

Proceedings of the Conference on Web and Internet Economics (WINE'21).

WINE'21

BoLT: Building on Local Trust to Solve Lending Market Failure.

Seth Goldstein, Denizalp Goktas, Miles Conn, Shanmukha Phani Teja Pitchuka, Mohammed Sameer, Maya Shah, Hefei Tu, Colin Swett, Shrinath Viswanathan, Jessica Xiao.

Appeared in Mechanism Design for Social Good (MD4SG'20).

Additional information on the project here!

MD4SG'20