2017
Bibliographic References tagged with 2017
Not finding what you're looking for? Try using Advanced Search.
Not finding what you're looking for? Try using Advanced Search.
Y. Liu, G. Radanovic, C. Dimitrakakis, D. Mandal, and D. C. Parkes,
“Calibrated fairness in Bandits”, in Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017), 2017.
Y. Liu, G. Radanovic, C. Dimitrakakis, D. Mandal, and D. C. Parkes,
“Calibrated fairness in Bandits”, in Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017), 2017.
R. Abebe, J. M. Kleinberg, and D. C. Parkes,
“Fair Division via Social Comparison”, in Proc. 16th Conf. on Autonomous Agents and Multiagent Systems (AAMAS’17), 2017, pp. 281–289.
R. Abebe, J. M. Kleinberg, and D. C. Parkes,
“Fair Division via Social Comparison”, in Proc. 16th Conf. on Autonomous Agents and Multiagent Systems (AAMAS’17), 2017, pp. 281–289.
H. Ma, D. C. Parkes, and V. Robu,
“Generalizing Demand Response Through Reward Bidding”, In Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). pp. 60–68, 2017.
H. Ma, D. C. Parkes, and V. Robu,
“Generalizing Demand Response Through Reward Bidding”, In Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). pp. 60–68, 2017.
B. Lubin, A. I. Juda, R. Cavallo, S. Lahaie, J. Shneidman, and D. C. Parkes,
“ICE: An Expressive Iterative Combinatorial Exchange.”, in Handbook of Spectrum Auction Design, vol. 39, Cambidge University Press, 2017, pp. 828–873.
B. Lubin, A. I. Juda, R. Cavallo, S. Lahaie, J. Shneidman, and D. C. Parkes,
“ICE: An Expressive Iterative Combinatorial Exchange.”, in Handbook of Spectrum Auction Design, vol. 39, Cambidge University Press, 2017, pp. 828–873.
C. Dimitrakakis, D. C. Parkes, G. Radanovic, and P. Tylkin,
“Multi-View Decision Processes: The Helper-AI Problem”, in Proc. 30th Advances in Neural Information Processing Systems (NIPS’17), 2017, pp. 5449–5458.
C. Dimitrakakis, D. C. Parkes, G. Radanovic, and P. Tylkin,
“Multi-View Decision Processes: The Helper-AI Problem”, in Proc. 30th Advances in Neural Information Processing Systems (NIPS’17), 2017, pp. 5449–5458.
P. Duetting, Z. Feng, H. Narasimhan, and D. C. Parkes,
“Optimal Economic Design through Deep Learning”, in Proc. of the NIPS Workshop on "Learning in the Presence of Strategic Behavior", Long Beach, CA, 2017.
P. Duetting, Z. Feng, H. Narasimhan, and D. C. Parkes,
“Optimal Economic Design through Deep Learning”, in Proc. of the NIPS Workshop on "Learning in the Presence of Strategic Behavior", Long Beach, CA, 2017.
A. Agarwal, D. Mandal, D. C. Parkes, and N. Shah,
“Peer Prediction with Heterogeneous Users”, in Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017), 2017.
A. Agarwal, D. Mandal, D. C. Parkes, and N. Shah,
“Peer Prediction with Heterogeneous Users”, in Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017), 2017.
D. Parkes, P. Tylkin, and L. Xia,
“Thwarting Vote Buying Through Decoy Ballots (extended abstract)”, in Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017.
D. Parkes, P. Tylkin, and L. Xia,
“Thwarting Vote Buying Through Decoy Ballots (extended abstract)”, in Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017.
D. C. Parkes, P. Tylkin, and L. Xia,
“Thwarting vote buying through decoy ballots”, in Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017.
D. C. Parkes, P. Tylkin, and L. Xia,
“Thwarting vote buying through decoy ballots”, in Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017.