Machine Learning
Bibliographic References tagged with Machine Learning
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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.
T. Wang, Y. Jiang, and D. Parkes,
T. Wang, Y. Jiang, and D. Parkes,
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.
H. Zhang and D. C. Parkes,
“Chain-of-Thought Reasoning is a Policy Improvement Operator.”, Workshop on Instruction Tuning and Instruction Following at NeurIPS 2023 , 2023.
H. Zhang and D. C. Parkes,
“Chain-of-Thought Reasoning is a Policy Improvement Operator.”, Workshop on Instruction Tuning and Instruction Following at NeurIPS 2023 , 2023.
S. S. Ravindranath, Y. Jiang, and D. C. Parkes,
“ Data Market Design through Deep Learning.”, in NeurIPS 2023, 2023.
S. S. Ravindranath, Y. Jiang, and D. C. Parkes,
“ Data Market Design through Deep Learning.”, in NeurIPS 2023, 2023.