2021
Bibliographic References tagged with 2021
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M. V. X. Ferreira, D. J. Moroz, D. C. Parkes, and M. Stern,
“Dynamic posted-price mechanisms for the blockchain transaction-fee market”, in AFT 2021, 2021, pp. 86–99.
M. V. X. Ferreira, D. J. Moroz, D. C. Parkes, and M. Stern,
“Dynamic posted-price mechanisms for the blockchain transaction-fee market”, in AFT 2021, 2021, pp. 86–99.
D. C. Parkes and F. Dominici,
“Introducing the Interim Co-Editors-in-Chief”, PubPub, 2021.
D. C. Parkes and F. Dominici,
“Introducing the Interim Co-Editors-in-Chief”, PubPub, 2021.
M. York, M. Dahleh, and D. C. Parkes,
“Eliciting Social Knowledge for Creditworthiness Assessment”, in Proc. 17th Conference on Web and Internet Economics , 2021, pp. 428–445.
M. York, M. Dahleh, and D. C. Parkes,
“Eliciting Social Knowledge for Creditworthiness Assessment”, in Proc. 17th Conference on Web and Internet Economics , 2021, pp. 428–445.
V. Conitzer, Z. Feng, D. C. Parkes, and E. Sodomka,
“Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss”, Proceedings 17th Conference on Web and Internet Economics (WINE), 2021, pp. 76–94.
V. Conitzer, Z. Feng, D. C. Parkes, and E. Sodomka,
“Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss”, Proceedings 17th Conference on Web and Internet Economics (WINE), 2021, pp. 76–94.
B. E. Lee, D. J. Moroz, and D. C. Parkes,
B. E. Lee, D. J. Moroz, and D. C. Parkes,
G. Brero, D. Chakrabarti, A. Eden, M. Gerstgrasser, V. Li, and D. C. Parkes,
“Learning Stackelberg Equilibria in Sequential Price Mechanisms”, Proc. ICML Workshop for Reinforcement Learning Theory, 2021.
G. Brero, D. Chakrabarti, A. Eden, M. Gerstgrasser, V. Li, and D. C. Parkes,
“Learning Stackelberg Equilibria in Sequential Price Mechanisms”, Proc. ICML Workshop for Reinforcement Learning Theory, 2021.
P. Tylkin, G. Radanovic, and D. C. Parkes,
“Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments”, in Proc. 20th Int. Conf. on Auton. Agents and Multiagent Systems (AAMAS), 2021, pp. 1686–1688.
P. Tylkin, G. Radanovic, and D. C. Parkes,
“Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments”, in Proc. 20th Int. Conf. on Auton. Agents and Multiagent Systems (AAMAS), 2021, pp. 1686–1688.
S. Hilgard, N. Rosenfeld, M. R. Banaji, J. Cao, and D. C. Parkes,
“Learning Representations by Humans”, in ICML 2021, 2021, pp. 4227–4238.
S. Hilgard, N. Rosenfeld, M. R. Banaji, J. Cao, and D. C. Parkes,
“Learning Representations by Humans”, in ICML 2021, 2021, pp. 4227–4238.
D. Parkes,
“Playing with symmetry with neural networks”, Nature Machine Intelligence , vol. 3, no. 8, pp. 658–658, 2021.
D. Parkes,
“Playing with symmetry with neural networks”, Nature Machine Intelligence , vol. 3, no. 8, pp. 658–658, 2021.
S. A. Wu, R. E. Wang, J. A. Evans, J. B. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration”, Topics Cognitive Science , vol. 13, no. 2, pp. 414–432, 2021.
S. A. Wu, R. E. Wang, J. A. Evans, J. B. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration”, Topics Cognitive Science , vol. 13, no. 2, pp. 414–432, 2021.