Goran Radanovic, Rati Devidze, David Parkes, and Adish Singla. 2019. “Learning to Collaborate in Markov Decision Processes.” In Proceedings of the 36th International Conference on Machine Learning (ICML’19), Pp. 5261-5270.

Paul Duetting, Zhe Feng, Harikrishna Narasimham, David C. Parkes, and Sai S. Ravindranath. 2019. “Optimal Auctions through Deep Learning.” In Proceedings of the 36th International Conference on Machine Learning (ICML’19), Pp. 1706-1715.

Noah Golowich, Harikrishna Narasimhan, and David C. Parkes. 2018. “Deep Learning for Multi-Facility Location Mechanism Design.” In Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI 2018), Pp. 261-267.

Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2018. “Deep Learning for Revenue-Optimal Auctions with Budgets.” In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems. (AAMAS 2018), Pp. 354-362.

Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, and David C. Parkes. 2017. “Calibrated fairness in Bandits.” In Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017).

Christos Dimitrakakis, David C. Parkes, Goran Radanovic, and Paul Tylkin. 2017. “Multi-View Decision Processes: The Helper-AI Problem.” In Proc. 30th Advances in Neural Information Processing Systems (NIPS’17), Pp. 5449-5458.

Paul Duetting, Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2017. “Optimal Economic Design through Deep Learning.” In Proc. of the NIPS Workshop on "Learning in the Presence of Strategic Behavior." Long Beach, CA.

Harikrishna Narasimhan, Shivani Agarwal, and David C. Parkes. 2016. “Automated Mechanism Design without Money via Machine Learning.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 433-439.

Harikrishna Narasimhan and David C. Parkes. 2016. “A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms.” In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI’16).

Harikrishna Narasimhan, David C. Parkes, and Yaron Singer. 2015. “Learnability of Influence in Networks.” In Proceedings of the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), Pp. 3186-3194.

Hossein Azari Soufiani, David C. Parkes, and Lirong Xia. 2014. “Computing Parametric Ranking Models via Rank-Breaking.” In Proceedings of the International Conference on Machine Learning (ICML 2014), Pp. 360-368.

Paul Duetting, Felix A. Fischer, Pichayut Jirapinyo, John Lai, Benjamin Lubin, and David C. Parkes. 2014. “Payment Rules through Discriminant-Based Classifiers.” ACM Transactions on Economics and Computation, 3, 1, Pp. 5.

Hossein Azari Soufiani, David C. Parkes, and Lirong Xia. 2014. “A Statistical Decision-Theoretic Framework for Social Choice.” In Proceedings of the Advances in Neural Information Processing Systems 27 (NIPS 2014), Pp. 3185-3193.

James Zou, Daniel Hsu, David C. Parkes, and Ryan P. Adams. 2013. “Contrastive Learning Using Spectral Methods.” In Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Pp. 2238-2246.

Hossein Azari Soufiani, William Chen, David C. Parkes, and Lirong Xia. 2013. “Generalized Method-of-Moments for Rank Aggregation.” In Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Pp. 2706-2714.

Hossein Azari Soufiani, Hansheng Diao, Zhenyu Lai, and David C. Parkes. 2013. “Generalized Random Utility Models with Multiple Types.” In Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Pp. 73-81.

Hossein Azari Soufiani, David C. Parkes, and Lirong Xia. 2013. “Preference Elicitation For General Random Utility Models.” In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI-13).

Paul Duetting, Felix A. Fischer, Pichayut Jirapinyo, John K. Lai, Benjamin Lubin, and David C. Parkes. 2012. “Payment Rules through Discriminant-Based Classifiers.” In Proceedings of the 13th ACM Conference on Electronic Commerce (EC ’12), Pp. 477-494.

Hossein Azari Soufiani, David C. Parkes, and Lirong Xia. 2012. “Random Utility Theory for Social Choice.” In Proceeedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS’12), Pp. 126-134.

Yiling Chen, Jerry L. Kung, David C. Parkes, Ariel Procaccia, and Haoqi Zhang. 2011. “Incentive Design for Adaptive Agents.” In Proceedings of the Autonomous Agents and MultiAgent Systems (AAMAS 2011), Pp. 627-634.