Preprints:   [Invited talks]

  1. Off-Policy Evaluation with Policy-Dependent Optimization Response [PDF]

  2. Cilantro: SLO-based Resource Allocation in Multi-Tenant Clusters [PDF | Code ]

  3. Multi-Source Causal Inference Using Control Variates [PDF]

  4. Do Offline Metrics Predict Online Performance in Recommender Systems? [PDF | Berkeley RecLab]


Publications:

  1. No-Regret Learning in Partially-Informed Auctions [PDF]

    Wenshuo Guo, Michael I. Jordan and Ellen Vitercik (alphabetical order)
    ICML 2022 ‣ 39th International Conference on Machine Learning

  2. Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits [PDF | code]

    AISTATS 2022 ‣ 25th International Conference on Artificial Intelligence and Statistics

  3. Learning Competitive Equilibria in Exchange Economies with Bandit Feedback [PDF]

    AISTATS 2022 ‣ 25th International Conference on Artificial Intelligence and Statistics

  4. Partial Identification with Noisy Covariates: A Robust Optimization Approach [PDF]

    CLeaR 2022 ‣ 1st International Conference on Causal Learning and Reasoning

  5. Robust Learning of Optimal Auctions [PDF]

    NeurIPS 2021 ‣ 35th Conference on Neural Information Processing Systems Spotlight (top 3% submissions)

  6. Test-time Collective Prediction [PDF]

    NeurIPS 2021 ‣ 35th Conference on Neural Information Processing Systems

  7. A Variational Inequality Approach to Bayesian Regression Games [PDF]

    Wenshuo Guo, Michael I. Jordan and Tianyi Lin (alphabetical order)
    CDC 2021 ‣ 60th IEEE Conference on Decision and Control

  8. The Stereotyping Problem in Collaboratively Filtered Recommender Systems [PDF]

    EAAMO 2021 ‣ ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization

  9. Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty [PDF | slides | video]

    ICML 2020 ‣ Workshop on Theoretical Foundations of Reinforcement Learning

  10. Robust Optimization for Fairness with Noisy Protected Groups [PDF | code]

    NeurIPS 2020 ‣ 34th Conference on Neural Information Processing Systems
    Preliminary version appeared at 4th Workshop on Mechanism Design for Social Good

  11. Approximate Heavily-Constrained Learning with Lagrange Multiplier Models [PDF | code]

    NeurIPS 2020 ‣ 34th Conference on Neural Information Processing Systems

  12. Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter [PDF | slides]

    AISTATS 2020 ‣ 23th International Conference on Artificial Intelligence and Statistics

  13. Neural Kernel Without Tangents [PDF | slides | video | code ]

    ICML 2020 ‣ 37th International Conference on Machine Learning

  14. Optimization of Financial Network Stability by Genetic Algorithm [PDF]

    WI 2018 ‣ 18th IEEE/WIC/ACM International Conference on Web Intelligence

  15. Minimization of Systemic Risk for Directed Network Using Genetic Algorithm [PDF]

    Evo* 2017 ‣ International Conference on the Applications of Evolutionary Computation

  16. Spin Model of Two Random Walkers in Complex Networks [PDF]

    CNA 2017 ‣ 6th International Conference on Complex Networks and Their Applications


Invited Talks: