Economics
Bibliographic References tagged with Economics
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M. Bichler and D. C. Parkes,
“Differentiable economics: Strategic behavior, mechanisms, and machine learning”, Comm. ACM, vol. 68(9):80–88, 2025.
M. Bichler and D. C. Parkes,
“Differentiable economics: Strategic behavior, mechanisms, and machine learning”, Comm. ACM, vol. 68(9):80–88, 2025.
G. Personnat, T. Lin, S. Hossain, and D. C. Parkes,
“Learning to play multi-follower Bayesian Stackelberg games”, In Proc. 14th Int Conf on Learning Representations (ICLR), vol. 105160-105189. 2026.
G. Personnat, T. Lin, S. Hossain, and D. C. Parkes,
“Learning to play multi-follower Bayesian Stackelberg games”, In Proc. 14th Int Conf on Learning Representations (ICLR), vol. 105160-105189. 2026.
G. Seo, X. Wang, and D. C. Parkes,
“Understanding strategic platform entry and seller exploration: A Stackelberg model”, In Proc. 35th ACM Web Conference (WWW), vol. 396-407. 2026.
G. Seo, X. Wang, and D. C. Parkes,
“Understanding strategic platform entry and seller exploration: A Stackelberg model”, In Proc. 35th ACM Web Conference (WWW), vol. 396-407. 2026.
Y. Jiang, D. C. Parkes, and T. Wang,
“Duality for optimal multi-item, multi-bidder auction design: Revenue certificates through deep learning”, Proc. 27th ACM Conf on Economics and Computation (EC’26), 2026.
Y. Jiang, D. C. Parkes, and T. Wang,
“Duality for optimal multi-item, multi-bidder auction design: Revenue certificates through deep learning”, Proc. 27th ACM Conf on Economics and Computation (EC’26), 2026.
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.