Machine Learning

2018
Nir Rosenfeld, Yishai Mansour, and Elad Yom-Tov. 2018. “Discriminative Learning of Prediction Intervals.” The 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018) . Download
Nir Rosenfeld and Amir Globerson. 2018. “Semi-Supervised Learning with Competitive Infection Models.” The 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018). Download
2017
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). Download
Eric Balkanski, Aviad Rubinstein, and Yaron Singer. 2017. “The Limitations of Optimization from Samples.” In ACM Symposium on the Theory of Computing (STOC 2017). Download
Liu Yang and Yiling Chen. 2017. “Machine Learning aided Peer Prediction.” In Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017). Download
Paul Duetting, Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2017. “Optimal Auctions through Deep Learning.” ArXiv e-prints. Download
Hassidim Avinatan and Yaron Singer. 2017. “Robust Guarantees of Stochastic Greedy Algorithms.” In International Conference of Machine Learning (ICML) . Download
Eric Balkanski and Yaron Singer. 2017. “The Sample Complexity of Optimizing a Convex Function.” In Proc. of the Conference on Learning Theory (COLT-17). Download
Avinatan Hassidim and Yaron Singer. 2017. “Submodular Optimization under Noise.” In Proc. of the Conference on Learning Theory (COLT-17). Download
2016
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). Download
Panos Toulis and David C. Parkes. 2016. “Long-term causal effects via behavioral game theory.” In Annual Conference on Neural Information Processing Systems (NIPS). Download
2015
Jean Pouget-Abadie and Thibaut Horel. 2015. “Inferring Graphs from Cascades: A Sparse Recovery Framework.” In Proceedings of the 32nd International Conference on Machine Learning, (ICML 2015), Pp. 977-986. Download
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. Download
2014
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. Download
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. Download
2013
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. Download
Panos Toulis and Edward Kao. 2013. “Estimation of Causal Peer Influence Effects.” In Proceedings of the International Conference on Machine Learning (ICML-13), Pp. 1489-1497. Download
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. Download
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. Download
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). Download

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