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Zhiwei Steven Wu

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Hybrid Inverse Reinforcement Learning

Feb 13, 2024
Juntao Ren, Gokul Swamy, Zhiwei Steven Wu, J. Andrew Bagnell, Sanjiban Choudhury

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Regret Minimization in Stackelberg Games with Side Information

Feb 13, 2024
Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan

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The Virtues of Pessimism in Inverse Reinforcement Learning

Feb 08, 2024
David Wu, Gokul Swamy, J. Andrew Bagnell, Zhiwei Steven Wu, Sanjiban Choudhury

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Leveraging Public Representations for Private Transfer Learning

Jan 16, 2024
Pratiksha Thaker, Amrith Setlur, Zhiwei Steven Wu, Virginia Smith

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A Minimaximalist Approach to Reinforcement Learning from Human Feedback

Jan 08, 2024
Gokul Swamy, Christoph Dann, Rahul Kidambi, Zhiwei Steven Wu, Alekh Agarwal

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Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration

Dec 26, 2023
Daniel Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu

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Membership Inference Attacks on Diffusion Models via Quantile Regression

Dec 08, 2023
Shuai Tang, Zhiwei Steven Wu, Sergul Aydore, Michael Kearns, Aaron Roth

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Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach

Nov 24, 2023
Xinwei Zhang, Zhiqi Bu, Zhiwei Steven Wu, Mingyi Hong

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