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Wenshuo Guo

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Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws

Feb 23, 2023
Kush Bhatia, Wenshuo Guo, Jacob Steinhardt

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Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty

Feb 20, 2023
Wenshuo Guo, Nika Haghtalab, Kirthevasan Kandasamy, Ellen Vitercik

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Mechanisms that Incentivize Data Sharing in Federated Learning

Jul 10, 2022
Sai Praneeth Karimireddy, Wenshuo Guo, Michael I. Jordan

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Off-Policy Evaluation with Policy-Dependent Optimization Response

Feb 25, 2022
Wenshuo Guo, Michael I. Jordan, Angela Zhou

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Partial Identification with Noisy Covariates: A Robust Optimization Approach

Feb 22, 2022
Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan

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No-Regret Learning in Partially-Informed Auctions

Feb 22, 2022
Wenshuo Guo, Michael I. Jordan, Ellen Vitercik

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Robust Learning of Optimal Auctions

Jul 13, 2021
Wenshuo Guo, Michael I. Jordan, Manolis Zampetakis

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Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits

Jun 28, 2021
Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya Muthukumar, Ashwin Pananjady

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The Stereotyping Problem in Collaboratively Filtered Recommender Systems

Jun 23, 2021
Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg

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Test-time Collective Prediction

Jun 22, 2021
Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan

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