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Zhe Feng
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Cited by
Year
Optimal auctions through deep learning
P DŁtting, Z Feng, H Narasimhan, D Parkes, SS Ravindranath
International Conference on Machine Learning, 1706-1715, 2019
1562019
Deep learning for revenue-optimal auctions with budgets
Z Feng, H Narasimhan, DC Parkes
Proceedings of the 17th International Conference on Autonomous Agents and†…, 2018
582018
Learning to bid without knowing your value
Z Feng, C Podimata, V Syrgkanis
Proceedings of the 2018 ACM Conference on Economics and Computation, 505-522, 2018
382018
Understanding PPA-completeness
X Deng, JR Edmonds, Z Feng, Z Liu, Q Qi, Z Xu
Journal of Computer and System Sciences 115, 146-168, 2021
222021
Online learning for measuring incentive compatibility in ad auctions?
Z Feng, O Schrijvers, E Sodomka
The World Wide Web Conference, 2729-2735, 2019
202019
Octahedral Tucker is PPA-Complete.
X Deng, Z Feng, R Kulkarni
Electron. Colloquium Comput. Complex. 24, 118, 2017
192017
The intrinsic robustness of stochastic bandits to strategic manipulation
Z Feng, D Parkes, H Xu
International Conference on Machine Learning, 3092-3101, 2020
182020
An adaptive independence sampler MCMC algorithm for Bayesian inferences of functions
Z Feng, J Li
SIAM Journal on Scientific Computing 40 (3), A1301-A1321, 2018
12*2018
Convergence analysis of no-regret bidding algorithms in repeated auctions
Z Feng, G Guruganesh, C Liaw, A Mehta, A Sethi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5399-5406, 2021
92021
Reserve Price Optimization for First Price Auctions in Display Advertising
Z Feng, S Lahaie, J Schneider, J Ye
International Conference on Machine Learning, 3230-3239, 2021
4*2021
Optimal auctions through deep learning
P DŁtting, Z Feng, H Narasimhan, DC Parkes, SS Ravindranath
Communications of the ACM 64 (8), 109-116, 2021
32021
Optimal auctions through deep learning
P DŁtting, Z Feng, H Narasimhan, DC Parkes, SS Ravindranath
32020
Machine learning for optimal economic design
P DŁtting, Z Feng, N Golowich, H Narasimhan, DC Parkes, ...
The Future of Economic Design, 495-515, 2019
32019
Welfare-Preserving -BIC to BIC Transformation with Negligible Revenue Loss
V Conitzer, Z Feng, DC Parkes, E Sodomka
International Conference on Web and Internet Economics, 76-94, 2021
22021
Learning to bid in contextual first price auctions
A Badanidiyuru, Z Feng, G Guruganesh
arXiv preprint arXiv:2109.03173, 2021
22021
Deep learning for two-sided matching
SS Ravindranath, Z Feng, S Li, J Ma, SD Kominers, DC Parkes
arXiv preprint arXiv:2107.03427, 2021
22021
Power-law distributions in a two-sided market and net neutrality
X Deng, Z Feng, CH Papadimitriou
International Conference on Web and Internet Economics, 59-72, 2016
22016
Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning
J Wu, Z Zhang, Z Feng, Z Wang, Z Yang, MI Jordan, H Xu
arXiv preprint arXiv:2202.10678, 2022
12022
A Context-Integrated Transformer-Based Neural Network for Auction Design
Z Duan, J Tang, Y Yin, Z Feng, X Yan, M Zaheer, X Deng
arXiv preprint arXiv:2201.12489, 2022
12022
Machine Learning-Aided Economic Design
Z Feng
Harvard University, 2021
12021
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Articles 1–20