%0 Manuscript %D In Preparation %T Octahedral Tucker is PPA-complete %A Xiaotie Deng %A Zhe Feng %A Rucha Kulkarni %G eng %U https://eccc.weizmann.ac.il/report/2017/118/ %0 Manuscript %D 2021 %T Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss %A Vincent Conitzer %A Zhe Feng %A David C. Parkes %A Eric Sodomka %B The 17th Conference on Web and Internet Economics (WINE-21), to appear %G eng %U https://arxiv.org/pdf/2007.09579.pdf %0 Conference Proceedings %B The 38th International Conference on Machine Learning (ICML-21) %D 2021 %T Reserve Price Optimization for First Price Auctions %A Zhe Feng %A Sebastien Lahaie %A Jon Schneider %A Jinchao Ye %B The 38th International Conference on Machine Learning (ICML-21) %I Long Presentation, 3% acceptance rate %G eng %U https://arxiv.org/pdf/2006.06519.pdf %0 Conference Proceedings %B The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) %D 2021 %T Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions %A Zhe Feng %A Guru Guruganesh %A Christopher Liaw %A Aranyak Mehta %A Abhishek Sethi %B The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) %G eng %U https://arxiv.org/pdf/2009.06136.pdf %0 Conference Proceedings %B 37th International Conference on Machine Learning (ICML 2020) %D 2020 %T The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation %A Zhe Feng %A David C. Parkes %A Haifeng Xu %B 37th International Conference on Machine Learning (ICML 2020) %G eng %U https://arxiv.org/pdf/1906.01528.pdf %0 Conference Proceedings %B 36th International Conference on Machine Learning (ICML 2019) %D 2019 %T Optimal Auctions through Deep Learning %A Paul Duetting %A Zhe Feng %A Harikrishna Narasimhan %A David C. Parkes %A Sai Srivatsa Ravindranath %B 36th International Conference on Machine Learning (ICML 2019) %I Long Talk %G eng %U https://github.com/zfengharvard/deep-opt-auctions %0 Conference Proceedings %B The Web Conference 2019 (former WWW'19) %D 2019 %T Online Learning for Measuring Incentive Compatibility in Ad Auctions %A Zhe Feng %A Okke Schrijvers %A Eric Sodomka %B The Web Conference 2019 (former WWW'19) %G eng %U https://arxiv.org/pdf/1901.06808.pdf %0 Conference Proceedings %B 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Full paper %D 2018 %T Deep Learning for Revenue-Optimal Auctions with budgets %A Zhe Feng %A Harikrishna Narasimhan %A David C. Parkes %B 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Full paper %G eng %U http://ifaamas.org/Proceedings/aamas2018/pdfs/p354.pdf %0 Conference Proceedings %B 19th ACM Conference on Economics and Computation (EC 2018) %D 2018 %T Learning to Bid Without Knowing your Value %A Zhe Feng %A Chara Podimata %A Vasilis Syrgkanis %B 19th ACM Conference on Economics and Computation (EC 2018) %G eng %U https://arxiv.org/pdf/1711.01333.pdf %0 Journal Article %J SIAM Journal on Scientific Computing. %D 2018 %T An Adaptive Independence Sampler MCMC Algorithm for Bayesian Inferences of Functions %A Zhe Feng %A Jinglai Li %B SIAM Journal on Scientific Computing. %V 40 %P A1301–A1321 %G eng %U https://arxiv.org/pdf/1508.03283v2.pdf %N 3 %0 Conference Proceedings %B The Proceedings of 12th Conference on Web and Internet Economics (WINE 2016) %D 2016 %T Power-Law Distributions in a Two-sided Market and Net Neutrality %A Xiaotie Deng %A Zhe Feng %A Christos H. Papadimitriou %B The Proceedings of 12th Conference on Web and Internet Economics (WINE 2016) %C Montreal, Canada %V 10123 %P 59-72 %G eng %U https://arxiv.org/abs/1610.04809 %0 Conference Proceedings %B The Proceedings of 31st Computational Complexity Conference (CCC 2016) %D 2016 %T Understanding PPA-Completeness %A Xiaotie Deng %A Jack R. Edmonds %A Zhe Feng %A Zhengyang Liu %A Qi Qi %A Zeying Xu %B The Proceedings of 31st Computational Complexity Conference (CCC 2016) %C Tokyo, Japan %V 50 %P 23:1--23:25 %G eng %U http://drops.dagstuhl.de/opus/volltexte/2016/5831/pdf/10.pdf