Research Papers:

  1. Partial Identification with Noisy Covariates: A Robust Optimization Approach [PDF | code upcoming]
    Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan.
    Conference on Causal Learning and Reasoning (CLeaR), 2022.

  2. Cilantro: SLO-based Resource Allocation in Multi-Tenant Clusters [PDF | code]
    Romil Bhardwaj, Kirthevasan Kandasamy, Asim Biswal, Wenshuo Guo, Benjamin Hindman, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica. In submission, 2022.

  3. Robust Learning of Optimal Auctions [PDF]
    Wenshuo Guo, Michael I. Jordan, Emmanouil Zampetakis.(α-β order).
    Conference on Neural Information Processing Systems (NeurIPS) [Spotlight Presentation (top 3% of submissions)], 2021.

  4. Test-time Collective Prediction [PDF]
    Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan.
    Conference on Neural Information Processing Systems (NeurIPS), 2021.

  5. Learning Competitive Equilibria in Exchange Economies with Bandit Feedback [PDF]
    Wenshuo Guo, Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica. Preprints in submission, 2021.

  6. Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits [PDF | code]
    Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya Muthukumar, Ashwin Pananjady. Preprints in submission, 2021.
    Short version appeared at ICML Workshop on Human-AI Collaboration in Sequential Decision-Making (spotlight) and ICML Workshop on Reinforcement Learning Theory.

  7. Multi-Source Causal Inference Using Control Variates [PDF]
    Wenshuo Guo*, Serena Wang*, Peng Ding, Yixin Wang, Michael I. Jordan. Preprints in submission, 2021. *equal contribution.

  8. A Variational Inequality Approach to Bayesian Regression Games [PDF]
    Wenshuo Guo, Michael I. Jordan, Tianyi Lin. 2021. (α-β order).
    IEEE Conference on Decision and Control (CDC), 2021.

  9. The Stereotyping Problem in Collaboratively Filtered Recommender Systems [PDF]
    Wenshuo Guo*, Karl Krauth*, Michael I. Jordan, Nikhil Garg. 2021.
    ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), oral presentation, 2021.

  10. Do Offline Metrics Predict Online Performance in Recommender Systems? [PDF | Berkeley RecLab]
    Karl Krauth, Sarah Dean*, Alex Zhao*, Wenshuo Guo*, Mihaela Curmei*, Benjamin Recht, Michael I. Jordan. 2020. *equal contribution.
    Short version at NeurIPS Workshop on Consequential Decisions in Dynamic Environments, 2020.

  11. Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty [PDF | slides | video]
    Wenshuo Guo, Mihaela Curmei, Serena Wang, Benjamin Recht, Michael I. Jordan.
    Short version at ICML Workshop on Theoretical Foundations of Reinforcement Learning, 2020.

  12. Robust Optimization for Fairness with Noisy Protected Groups [PDF | code]
    Serena Wang*, Wenshuo Guo*, Harikrishna Narasimhan, Andrew Cotter, Maya Gupta, Michael I. Jordan. *equal contribution.
    Conference on Neural Information Processing Systems (NeurIPS), 2020.
    Short version at Workshop on Mechanism Design for Social Good (MD4SG), 2020

  13. Approximate Heavily-Constrained Learning with Lagrange Multiplier Models [PDF | code]
    Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Wang, Wenshuo Guo. 2020.
    Conference on Neural Information Processing Systems (NeurIPS), 2020.

  14. Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter [PDF | slides]
    Wenshuo Guo, Nhat Ho, Michael I. Jordan.
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.

  15. Neural Kernel Without Tangents [PDF | slides | video | code ]
    Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelly, Benjamin Recht.
    International Conference on Machine Learning (ICML), 2020.

  16. Optimization of Financial Network Stability by Genetic Algorithm [PDF]
    Juntao Wang, Wenshuo Guo, Szeto Kwok Yip.
    IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2017.

  17. Minimization of Systemic Risk for Directed Network Using Genetic Algorithm [PDF]
    Wenshuo Guo, Szeto Kwok Yip.
    International Conference on the Applications of Evolutionary Computation (Evo*), 2017.

  18. Spin Model of Two Random Walkers in Complex Networks [PDF]
    Wenshuo Guo, Juntao Wang, Szeto Kwok Yip.
    International Conference on Complex Networks and Their Applications (CNA), 2017.