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336 results

336 results

Working Paper

B. E. Lee, D. J. Moroz, and D. C. Parkes,
B. E. Lee, D. J. Moroz, and D. C. Parkes,
D. J. Moroz, D. J. Aronoff, N. Narula, and D. C. Parkes,
D. J. Moroz, D. J. Aronoff, N. Narula, and D. C. Parkes,
E. Soumalias, Y. Jiang, K. Zhu, M. Curry, S. Seuken, and D. C. Parkes,
E. Soumalias, Y. Jiang, K. Zhu, M. Curry, S. Seuken, and D. C. Parkes,

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.
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.
T. Wang, Y. Jiang, and D. Parkes,
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization”, 39th Annual Conference on Neural Information Processing Systems NeurIPS. 2025.
T. Wang, Y. Jiang, and D. Parkes,
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization”, 39th Annual Conference on Neural Information Processing Systems NeurIPS. 2025.
T. Wang, H. Dong, Y. Jiang, D. C. Parkes, and M. Tambe,
On diffusion models for multi-agent partial observability: Shared attractors, error bounds, and composite flow”, Proc. 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025. pp. 2143–2152, 2025.
T. Wang, H. Dong, Y. Jiang, D. C. Parkes, and M. Tambe,
On diffusion models for multi-agent partial observability: Shared attractors, error bounds, and composite flow”, Proc. 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025. pp. 2143–2152, 2025.
D. Huang, F. Marmolejo-Cossío, E. Lock, and D. C. Parkes,
Accelerated Preference Elicitation With LLM-Based Proxies”, 21st Conference on Web and Internet Economics (WINE). 2025.
D. Huang, F. Marmolejo-Cossío, E. Lock, and D. C. Parkes,
Accelerated Preference Elicitation With LLM-Based Proxies”, 21st Conference on Web and Internet Economics (WINE). 2025.
R. Trivedi, K. Sharma, and D. C. Parkes,
Inner speech as behavior guides: Steerable imitation of diverse behaviors for Human-AI coordination”, Proc. 39th Annual Conference on Neural Information Processing Systems NeurIPS. 2025.
R. Trivedi, K. Sharma, and D. C. Parkes,
Inner speech as behavior guides: Steerable imitation of diverse behaviors for Human-AI coordination”, Proc. 39th Annual Conference on Neural Information Processing Systems NeurIPS. 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, and D. C. Parkes,
Optimal automated market makers: Differentiable economics and strong duality”, Proc. 21st Conference on Web and Internet Economics (WINE). 2025.

2024

I. Palacios-Huerta, D. C. Parkes, and R. Steinberg,
Combinatorial Auctions in Practice”, Journal of Economics Literature, vol. 62 , no. 2, pp. 517–53, 2024.
I. Palacios-Huerta, D. C. Parkes, and R. Steinberg,
Combinatorial Auctions in Practice”, Journal of Economics Literature, vol. 62 , no. 2, pp. 517–53, 2024.