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Zhiwei Steven Wu

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Inverse Reinforcement Learning without Reinforcement Learning

Mar 26, 2023
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu

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Improved Differentially Private Regression via Gradient Boosting

Mar 06, 2023
Shuai Tang, Sergul Aydore, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Zhiwei Steven Wu

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Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance

Mar 02, 2023
Xin Gu, Gautam Kamath, Zhiwei Steven Wu

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Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making

Feb 22, 2023
Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, Kenneth Holstein

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Counterfactual Prediction Under Outcome Measurement Error

Feb 22, 2023
Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu

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Federated Learning as a Network Effects Game

Feb 16, 2023
Shengyuan Hu, Dung Daniel Ngo, Shuran Zheng, Virginia Smith, Zhiwei Steven Wu

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Strategyproof Decision-Making in Panel Data Settings and Beyond

Nov 25, 2022
Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu

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Reinforcement Learning with Stepwise Fairness Constraints

Nov 08, 2022
Zhun Deng, He Sun, Zhiwei Steven Wu, Linjun Zhang, David C. Parkes

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