2018
Bibliographic References tagged with 2018
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D. C. Parkes,
“Technical perspective: Moving spectrum”, Communications of the ACM, vol. 61, no. 1, p. 96, 2018.
D. C. Parkes,
“Technical perspective: Moving spectrum”, Communications of the ACM, vol. 61, no. 1, p. 96, 2018.
N. Golowich, H. Narasimhan, and D. C. Parkes,
“Deep Learning for Multi-Facility Location Mechanism Design”, in Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018, pp. 261–267.
N. Golowich, H. Narasimhan, and D. C. Parkes,
“Deep Learning for Multi-Facility Location Mechanism Design”, in Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018, pp. 261–267.
Z. Feng, H. Narasimhan, and D. C. Parkes,
“Deep Learning for Revenue-Optimal Auctions with Budgets”, in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems. (AAMAS 2018), 2018, pp. 354–362.
Z. Feng, H. Narasimhan, and D. C. Parkes,
“Deep Learning for Revenue-Optimal Auctions with Budgets”, in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems. (AAMAS 2018), 2018, pp. 354–362.
R. Abebe, J. M. Kleinberg, D. C. Parkes, and C. Tsourakakis,
“Opinion Dynamics with Varying Susceptibility to Persuasion”, in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’18), 2018, pp. 1089–1098.
R. Abebe, J. M. Kleinberg, D. C. Parkes, and C. Tsourakakis,
“Opinion Dynamics with Varying Susceptibility to Persuasion”, in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’18), 2018, pp. 1089–1098.
J. Pouget-Abadie, V. S. Mirrokni, D. C. Parkes, and E. M. Airoldi,
“Optimizing Cluster-based Randomized Experiments under Monotonicity.”, in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’18), 2018, pp. 2090–2099.
J. Pouget-Abadie, V. S. Mirrokni, D. C. Parkes, and E. M. Airoldi,
“Optimizing Cluster-based Randomized Experiments under Monotonicity.”, in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’18), 2018, pp. 2090–2099.
R. Meir and D. C. Parkes,
“Playing the Wrong Game: Bounding Externalities in Diverse Populations of Agents”, in Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS ’18), 2018, pp. 86–94.
R. Meir and D. C. Parkes,
“Playing the Wrong Game: Bounding Externalities in Diverse Populations of Agents”, in Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS ’18), 2018, pp. 86–94.
H. Ma, R. Meir, and D. C. Parkes,
“Social Choice with Non Quasi-linear Utilities”, arXiv preprint arXiv:1804.02268, 2018.
H. Ma, R. Meir, and D. C. Parkes,
“Social Choice with Non Quasi-linear Utilities”, arXiv preprint arXiv:1804.02268, 2018.