2026
Bibliographic References tagged with 2026
Not finding what you're looking for? Try using Advanced Search.
Not finding what you're looking for? Try using Advanced Search.
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.
S. Fish et al.,
“Generative social choice”, Journal of the ACM, vol. 73 (2), no. 1-11, 2026.
S. Fish et al.,
“Generative social choice”, Journal of the ACM, vol. 73 (2), no. 1-11, 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. 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.
N. Thach, H. Chan, D. C. Parkes, and K. R. Lakhani,
“Guiding Worker Self-Selection in Crowdsourcing Contests: An LLM-Augmented Algorithmic Approach”, In Proc. ACM Conference on Human-AI Complementarity and Alignment (HCOMP). 2026.
N. Thach, H. Chan, D. C. Parkes, and K. R. Lakhani,
“Guiding Worker Self-Selection in Crowdsourcing Contests: An LLM-Augmented Algorithmic Approach”, In Proc. ACM Conference on Human-AI Complementarity and Alignment (HCOMP). 2026.
N. Lopez, F. J. M. Cossío, J. R. T. Ayala, and D. C. Parkes,
“Dynamic Welfare-Maximizing Pooled Testing”, arXiv preprint arXiv:2601.22419, 2026.
N. Lopez, F. J. M. Cossío, J. R. T. Ayala, and D. C. Parkes,
“Dynamic Welfare-Maximizing Pooled Testing”, arXiv preprint arXiv:2601.22419, 2026.
T. Wang, Y. Pan, X. Yang, Y. Jiang, M. Tambe, and D. C. Parkes,
“LLM Active Alignment: A Nash Equilibrium Perspective”, arXiv preprint arXiv:2602.06836, 2026.
T. Wang, Y. Pan, X. Yang, Y. Jiang, M. Tambe, and D. C. Parkes,
“LLM Active Alignment: A Nash Equilibrium Perspective”, arXiv preprint arXiv:2602.06836, 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.
K. Zhu, A. Shah, and D. C. Parkes,
K. Zhu, A. Shah, and D. C. Parkes,