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Ph.D student in Computer Science
Maxwell Dworkin 242, 33 Oxford Street, Cambridge, MA 01238
Zhe Feng, David C. Parkes, and Haifeng Xu
. Working Paper. “
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
Xiaotie Deng, Zhe Feng, and Rucha Kulkarni
. In Preparation.
Octahedral Tucker is PPA-complete
Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, and Sai Srivatsa Ravindranath
. 6/2019. “
Optimal Auctions through Deep Learning
.” 36th International Conference on Machine Learning (ICML 2019). Long Talk.
Zhe Feng, Okke Schrijvers, and Eric Sodomka
. 5/2019. “
Online Learning for Measuring Incentive Compatibility in Ad Auctions
.” The Web Conference 2019 (former WWW'19).
Zhe Feng, Harikrishna Narasimhan, and David C. Parkes
. 7/2018. “
Deep Learning for Revenue-Optimal Auctions with budgets
.” 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Full paper.
Zhe Feng, Chara Podimata, and Vasilis Syrgkanis
. 6/2018. “
Learning to Bid Without Knowing your Value
.” 19th ACM Conference on Economics and Computation (EC 2018) .
Zhe Feng and Jinglai Li
. 5/8/2018. “
An adaptive independence sampler MCMC algorithm for infinite dimensional Bayesian inferences
.” SIAM Journal on Scientific Computing., 40, 3, Pp. A1301–A1321.
Xiaotie Deng, Zhe Feng, and Christos H. Papadimitriou
. 12/2016. “
Power-Law Distributions in a Two-sided Market and Net Neutrality
.” The Proceedings of 12th Conference on Web and Internet Economics (WINE 2016) 10123, Pp. 59-72. Montreal, Canada.
Xiaotie Deng, Jack R. Edmonds, Zhe Feng, Zhengyang Liu, Qi Qi, and Zeying Xu
. 6/2016. “
.” The Proceedings of 31st Computational Complexity Conference (CCC 2016) 50, Pp. 23:1--23:25. Tokyo, Japan.
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