Agarwal, Arpit
Bibliographic References tagged with Agarwal, Arpit
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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.
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.
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.
A. Agarwal, D. Mandal, D. C. Parkes, and N. Shah,
“Peer Prediction with Heterogeneous Users”, ACM Transactions on Economics and Computation, vol. 8, no. 1, pp. 2:1–2:34, 2020.
A. Agarwal, D. Mandal, D. C. Parkes, and N. Shah,
“Peer Prediction with Heterogeneous Users”, ACM Transactions on Economics and Computation, vol. 8, no. 1, pp. 2:1–2:34, 2020.