Guo, Wenshuo

14 publications

AISTATS 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws Kush Bhatia, Wenshuo Guo, Jacob Steinhardt

AISTATS 2022 Learning Competitive Equilibria in Exchange Economies with Bandit Feedback Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael Jordan, Ion Stoica

AISTATS 2022 Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady

NeurIPSW 2022 Mechanisms That Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy, Wenshuo Guo, Michael Jordan

TMLR 2022 Multi-Source Causal Inference Using Control Variates Under Outcome Selection Bias Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael Jordan

ICML 2022 No-Regret Learning in Partially-Informed Auctions Wenshuo Guo, Michael Jordan, Ellen Vitercik

NeurIPS 2022 Off-Policy Evaluation with Policy-Dependent Optimization Response Wenshuo Guo, Michael I. Jordan, Angela Zhou

CLeaR 2022 Partial Identification with Noisy Covariates: A Robust Optimization Approach Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael Jordan

NeurIPS 2021 Robust Learning of Optimal Auctions Wenshuo Guo, Michael I. Jordan, Emmanouil Zampetakis

NeurIPS 2021 Test-Time Collective Prediction Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan

NeurIPS 2020 Approximate Heavily-Constrained Learning with Lagrange Multiplier Models Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Wang, Wenshuo Guo

AISTATS 2020 Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter Wenshuo Guo, Nhat Ho, Michael Jordan

ICML 2020 Neural Kernels Without Tangents Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht

NeurIPS 2020 Robust Optimization for Fairness with Noisy Protected Groups Serena Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya Gupta, Michael I. Jordan