2019
Bibliographic References tagged with 2019
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P. Duetting, Z. Feng, H. Narasimham, D. C. Parkes, and S. S. Ravindranath,
“Optimal Auctions through Deep Learning”, in Proceedings of the 36th International Conference on Machine Learning (ICML’19), 2019, pp. 1706–1715.
P. Duetting, Z. Feng, H. Narasimham, D. C. Parkes, and S. S. Ravindranath,
“Optimal Auctions through Deep Learning”, in Proceedings of the 36th International Conference on Machine Learning (ICML’19), 2019, pp. 1706–1715.
D. Rheingans-Yoo, S. D. Kominers, H. Ma, and D. C. Parkes,
“Ridesharing with Driver Location Preferences”, in Proceedings of the 28th Int. Joint Conf. on Artificial Intelligence, (IJCAI 2019), 2019, pp. 557–564.
D. Rheingans-Yoo, S. D. Kominers, H. Ma, and D. C. Parkes,
“Ridesharing with Driver Location Preferences”, in Proceedings of the 28th Int. Joint Conf. on Artificial Intelligence, (IJCAI 2019), 2019, pp. 557–564.
J. Serrino, M. Kleiman-Weiner, D. C. Parkes, and J. B. Tenenbaum,
“Finding Friend and Foe in Multi-Agent Games”, in Proceedings of the 32nd Annual Conf. on Neural Information Processing Systems 2019, (NeurIPS 2019), 2019, pp. 1249–1259.
J. Serrino, M. Kleiman-Weiner, D. C. Parkes, and J. B. Tenenbaum,
“Finding Friend and Foe in Multi-Agent Games”, in Proceedings of the 32nd Annual Conf. on Neural Information Processing Systems 2019, (NeurIPS 2019), 2019, pp. 1249–1259.
N. Saxena, K. Huang, E. DeFilippis, G. Radanovic, D. Parkes, and Y. Liu,
“How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness”, in Proceedings of AI Ethics and Society (AIES), 2019, pp. 99–106.
N. Saxena, K. Huang, E. DeFilippis, G. Radanovic, D. Parkes, and Y. Liu,
“How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness”, in Proceedings of AI Ethics and Society (AIES), 2019, pp. 99–106.
S. Hilgard, N. Rosenfeld, M. R. Banaji, J. Cao, and D. C. Parkes,
“Learning Representations by Humans, for Humans”, in NeurIPS Workshop on Human-Centric Machine Learning, 2019.
S. Hilgard, N. Rosenfeld, M. R. Banaji, J. Cao, and D. C. Parkes,
“Learning Representations by Humans, for Humans”, in NeurIPS Workshop on Human-Centric Machine Learning, 2019.
G. Radanovic, R. Devidze, D. Parkes, and A. Singla,
“Learning to Collaborate in Markov Decision Processes.”, in Proceedings of the 36th International Conference on Machine Learning (ICML’19), 2019, pp. 5261–5270.
G. Radanovic, R. Devidze, D. Parkes, and A. Singla,
“Learning to Collaborate in Markov Decision Processes.”, in Proceedings of the 36th International Conference on Machine Learning (ICML’19), 2019, pp. 5261–5270.
I. Rahwan et al.,
“Machine behaviour”, Nature, vol. 568, pp. 477–486, 2019.
I. Rahwan et al.,
“Machine behaviour”, Nature, vol. 568, pp. 477–486, 2019.
G. D. Hager et al.,
G. D. Hager et al.,
C. Dimitrakakis, Y. Liu, D. C. Parkes, and G. Radanovic,
“Bayesian Fairness”, in Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019.
C. Dimitrakakis, Y. Liu, D. C. Parkes, and G. Radanovic,
“Bayesian Fairness”, in Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019.
H. Aziz, H. Chan, B. E. Lee, and D. C. Parkes,
“The Capacity Constrained Facility Location Problem”, in Proceedings of the 15th Int. Conf. on Web and Internet Economics, (WINE 2019), 2019, p. 336.
H. Aziz, H. Chan, B. E. Lee, and D. C. Parkes,
“The Capacity Constrained Facility Location Problem”, in Proceedings of the 15th Int. Conf. on Web and Internet Economics, (WINE 2019), 2019, p. 336.