Economics
Bibliographic References tagged with Economics
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M. Curry, Z. Fan, and D. C. Parkes,
“Optimal automated market makers: Differentiable economics and strong duality”, Proc. 21st Conference on Web and Internet Economics (WINE). 2025.
M. Curry, Z. Fan, and D. C. Parkes,
“Optimal automated market makers: Differentiable economics and strong duality”, Proc. 21st Conference on Web and Internet Economics (WINE). 2025.
M. Curry, Z. Fan, Y. Jiang, S. S. Ravindranath, T. Wang, and D. C. Parkes,
“Automated Mechanism Design: A Survey”, ACM SIGecom Exchanges, vol. 22, no. 2, pp. 102–120, 2025.
M. Curry, Z. Fan, Y. Jiang, S. S. Ravindranath, T. Wang, and D. C. Parkes,
“Automated Mechanism Design: A Survey”, ACM SIGecom Exchanges, vol. 22, no. 2, pp. 102–120, 2025.
A. Tacchetti et al.,
“Deep mechanism design: Learning social and economic policies for human benefit.”, Proceedings of the National Academy of Sciences of the United States of America, vol. 122, no. 25, p. e2319949121, 2025, doi: 10.1073/pnas.2319949121.
A. Tacchetti et al.,
“Deep mechanism design: Learning social and economic policies for human benefit.”, Proceedings of the National Academy of Sciences of the United States of America, vol. 122, no. 25, p. e2319949121, 2025, doi: 10.1073/pnas.2319949121.
S. Hossain, T. Wang, T. Lin, Y. Chen, D. Parkes, and H. Xu,
S. Hossain, T. Wang, T. Lin, Y. Chen, D. Parkes, and H. Xu,
T. Wang, Y. Jiang, and D. Parkes,
T. Wang, Y. Jiang, and D. Parkes,
E. Zhang et al.,
“Position: Social Environment Design Should be Further Developed for AI-based Policy-Making”, in Proc. 41st International Conference on Machine Learning, ICML 2024, 2024.
E. Zhang et al.,
“Position: Social Environment Design Should be Further Developed for AI-based Policy-Making”, in Proc. 41st International Conference on Machine Learning, ICML 2024, 2024.
L. D’Amico-Wong, Y. A. Gonczarowski, G. Q. Ma, and D. C. Parkes,
“Disrupting Bipartite Trading Networks: Matching for Revenue Maximization.”, in Proc. Twenty-Fifth ACM Conference on Economics and Computation (EC’24)., 2024.
L. D’Amico-Wong, Y. A. Gonczarowski, G. Q. Ma, and D. C. Parkes,
“Disrupting Bipartite Trading Networks: Matching for Revenue Maximization.”, in Proc. Twenty-Fifth ACM Conference on Economics and Computation (EC’24)., 2024.
P. Duetting, Z. Feng, H. Narasimhan, D. C. Parkes, and S. S. Ravindranath,
“Optimal Auctions through Deep Learning: Advances in Differentiable Economics. ”, J. ACM , vol. 71, no. (1), pp. 5:1–5:53, 2024.
P. Duetting, Z. Feng, H. Narasimhan, D. C. Parkes, and S. S. Ravindranath,
“Optimal Auctions through Deep Learning: Advances in Differentiable Economics. ”, J. ACM , vol. 71, no. (1), pp. 5:1–5:53, 2024.
M. Gerstgrasser and D. C. Parkes,
“Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning.”, in ICML 2023, 2023, pp. 11213–11236.
M. Gerstgrasser and D. C. Parkes,
“Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning.”, in ICML 2023, 2023, pp. 11213–11236.
S. Fish et al.,
“Generative Social Choice”, Proc. 25th Conf. on Economics and Computation (EC’24), 2024.
S. Fish et al.,
“Generative Social Choice”, Proc. 25th Conf. on Economics and Computation (EC’24), 2024.