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2020 – today
- 2024
[c12]John Randolph, Amy Greenwald, Denizalp Goktas:
Banzhaf Power in Hierarchical Games. AAMAS 2024: 2432-2434- [c11]Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh:
Efficient Inverse Multiagent Learning. ICLR 2024 - [c10]Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti:
Generative Adversarial Equilibrium Solvers. ICLR 2024 - [i11]Denizalp Goktas, Arjun Prakash, Amy Greenwald
:
Convex-Concave Zero-sum Markov Stackelberg Games. CoRR abs/2401.12437 (2024) - [i10]Josefine B. Graebener, Apurva S. Badithela, Denizalp Goktas, Wyatt Ubellacker, Eric V. Mazumdar, Aaron D. Ames, Richard M. Murray:
Flow-Based Synthesis of Reactive Tests for Discrete Decision-Making Systems with Temporal Logic Specifications. CoRR abs/2404.09888 (2024) - 2023
- [c9]Jiayi Zhao, Denizalp Goktas, Amy Greenwald:
Fisher Markets with Social Influence. AAAI 2023: 5900-5909 - [c8]Denizalp Goktas, Arjun Prakash, Amy Greenwald:
Convex-Concave Zero-Sum Stochastic Stackelberg Games. NeurIPS 2023 - [c7]Denizalp Goktas, Jiayi Zhao, Amy Greenwald:
Tâtonnement in Homothetic Fisher Markets. EC 2023: 760-781 - [i9]Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti:
Generative Adversarial Equilibrium Solvers. CoRR abs/2302.06607 (2023) - [i8]Jiayi Zhao, Denizalp Goktas, Amy Greenwald:
Fisher Markets with Social Influence. CoRR abs/2303.06307 (2023) - [i7]Denizalp Goktas, Jiayi Zhao, Amy Greenwald:
Tâtonnement in Homothetic Fisher Markets. CoRR abs/2306.04890 (2023) - 2022
- [c6]Denizalp Goktas:
An Algorithmic Theory of Markets and Their Application to Decentralized Markets. AAAI 2022: 12878-12879 - [c5]Denizalp Goktas, Jiayi Zhao, Amy Greenwald:
Robust No-Regret Learning in Min-Max Stackelberg Games. AAMAS 2022: 543-552 - [c4]Denizalp Goktas, Amy Greenwald:
Exploitability Minimization in Games and Beyond. NeurIPS 2022 - [c3]Denizalp Goktas, Sadie Zhao, Amy Greenwald:
Zero-Sum Stochastic Stackelberg Games. NeurIPS 2022 - [i6]Denizalp Goktas, Jiayi Zhao, Amy Greenwald:
Robust No-Regret Learning in Min-Max Stackelberg Games. CoRR abs/2203.14126 (2022) - [i5]Denizalp Goktas, Amy Greenwald:
Gradient Descent Ascent in Min-Max Stackelberg Games. CoRR abs/2208.09690 (2022) - [i4]Denizalp Goktas, Amy Greenwald:
Exploitability Minimization in Games and Beyond. CoRR abs/2210.10207 (2022) - [i3]Denizalp Goktas, Jiayi Zhao, Amy Greenwald:
Zero-Sum Stochastic Stackelberg Games. CoRR abs/2211.13847 (2022) - 2021
- [c2]Denizalp Goktas, Amy Greenwald:
Convex-Concave Min-Max Stackelberg Games. NeurIPS 2021: 2991-3003 - [c1]Denizalp Goktas, Enrique Areyan Viqueira, Amy Greenwald:
A Consumer-Theoretic Characterization of Fisher Market Equilibria. WINE 2021: 334-351 - [i2]Denizalp Goktas, Enrique Areyan Viqueira, Amy Greenwald:
Tâtonnement Beyond Constant Elasticity of Substitution. CoRR abs/2107.08153 (2021) - [i1]Denizalp Goktas, Amy Greenwald:
Convex-Concave Min-Max Stackelberg Games. CoRR abs/2110.05192 (2021)
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