Parkes, David C.
Bibliographic References tagged with Parkes, David C.
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M. Wuthrich, M. York, and D. C. Parkes,
M. Wuthrich, M. York, and D. C. Parkes,
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,
M. H. Tessler et al.,
“AI can help humans find common ground in democratic deliberation”, Science, vol. 386, no. 6719, 2024.
M. H. Tessler et al.,
“AI can help humans find common ground in democratic deliberation”, Science, vol. 386, no. 6719, 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.
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.
H. Sun, Z. Deng, H. Chen, and D. C. Parkes,
“Decision-Aware Conditional GANs for Time Series Data.”, in ICAIF 2023, 2023, pp. 36–45.
H. Sun, Z. Deng, H. Chen, and D. C. Parkes,
“Decision-Aware Conditional GANs for Time Series Data.”, in ICAIF 2023, 2023, pp. 36–45.
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.