2016
Bibliographic References tagged with 2016
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H. Narasimhan, S. Agarwal, and D. C. Parkes,
“Automated Mechanism Design without Money via Machine Learning”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 433–439.
H. Narasimhan, S. Agarwal, and D. C. Parkes,
“Automated Mechanism Design without Money via Machine Learning”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 433–439.
D. Mandal and D. C. Parkes,
“Correlated Voting”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 366–372.
D. Mandal and D. C. Parkes,
“Correlated Voting”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 366–372.
H. Narasimhan and D. C. Parkes,
“A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms”, in Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI’16), 2016.
H. Narasimhan and D. C. Parkes,
“A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms”, in Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI’16), 2016.
H. Ma, V. Robu, Ali, and D. C. Parkes,
“Incentivizing Reliability in Demand-Side Response”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 352–358.
H. Ma, V. Robu, Ali, and D. C. Parkes,
“Incentivizing Reliability in Demand-Side Response”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 352–358.
V. Shnayder, A. Agarwal, R. M. Frongillo, and D. Parkes,
“Informed Truthfulness for Multi-Task Peer Prediction”, in Proc. of the HCOMP Workshop on Mathematical Foundations of Human Computation, 2016.
V. Shnayder, A. Agarwal, R. M. Frongillo, and D. Parkes,
“Informed Truthfulness for Multi-Task Peer Prediction”, in Proc. of the HCOMP Workshop on Mathematical Foundations of Human Computation, 2016.
V. Shnayder, A. Agarwal, R. M. Frongillo, and D. C. Parkes,
“Informed Truthfulness in Multi-Task Peer Predictions”, in Proceedings of the 17th ACM Conf. on Economics and Computation (EC16), 2016, pp. 179–196.
V. Shnayder, A. Agarwal, R. M. Frongillo, and D. C. Parkes,
“Informed Truthfulness in Multi-Task Peer Predictions”, in Proceedings of the 17th ACM Conf. on Economics and Computation (EC16), 2016, pp. 179–196.
P. Toulis and D. C. Parkes,
“Long-term causal effects via behavioral game theory”, in Annual Conference on Neural Information Processing Systems (NIPS), 2016.
P. Toulis and D. C. Parkes,
“Long-term causal effects via behavioral game theory”, in Annual Conference on Neural Information Processing Systems (NIPS), 2016.
V. Shnayder, R. M. Frongillo, and D. C. Parkes,
“Measuring Performance Of Peer Prediction Mechanisms Using Replicator Dynamics”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 2611–2617.
V. Shnayder, R. M. Frongillo, and D. C. Parkes,
“Measuring Performance Of Peer Prediction Mechanisms Using Replicator Dynamics”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 2611–2617.
D. Mandal, M. Leifer, D. C. Parkes, G. Pickard, and V. Shnayder,
“Peer Prediction with Heterogeneous Tasks”, in Proc. of the NIPS Workshop on Crowdsourcing and Machine Learning, 2016.
D. Mandal, M. Leifer, D. C. Parkes, G. Pickard, and V. Shnayder,
“Peer Prediction with Heterogeneous Tasks”, in Proc. of the NIPS Workshop on Crowdsourcing and Machine Learning, 2016.