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.

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.

H. Ma, R. Meir, D. C. Parkes, and J. Zou,

“Contingent Payment Mechanisms for Resource Utilization”, in Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2019, pp. 422–430.

H. Ma, R. Meir, D. C. Parkes, and J. Zou,

“Contingent Payment Mechanisms for Resource Utilization”, in Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2019, pp. 422–430.

P. Duetting, F. A. Fischer, and D. C. Parkes,

“Expressiveness and Robustness of First-Price Position Auctions”, Mathematics of Operations Research, vol. 44, no. 1, pp. 196–211, 2019.

P. Duetting, F. A. Fischer, and D. C. Parkes,

“Expressiveness and Robustness of First-Price Position Auctions”, Mathematics of Operations Research, vol. 44, no. 1, pp. 196–211, 2019.