Papers

Preprints
  • A. González-Sanz, S. Sheng, B. Wu, and M. Avella Medina.
    The Influence Function of Transport-based Quantiles
    arXiv preprint, 2026.
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  • Y. Slavutsky, M. Shen, B. Wu, and D. M. Blei.
    Environment-Robust Representation Learning with Empirical Bayes
    arXiv preprint, 2026.
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  • B. Wu, S. Salazar, D. P. Green, and D. M. Blei.
    The Illusion of Learning from Observational Data: An Empirical Bayes Perspective
    arXiv preprint, 2026.
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  • B. Wu, J. von Kügelgen, and D. M. Blei.
    Multi-Domain Empirical Bayes for Linearly Mixed Causal Representations
    arXiv preprint, 2026.
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  • B. Wu, E. N. Weinstein, and D. M. Blei.
    Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries
    arXiv preprint, 2025.
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  • S. Sheng*, B. Wu*, B. Zhu, S. Chewi, and A.-A. Pooladian.
    Theory and Computation for Structured Variational Inference
    arXiv preprint, 2025.
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  • S. Sheng, B. Wu, and A. González-Sanz.
    Mode Collapse of Mean-Field Variational Inference
    arXiv preprint, 2025.
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  • S. Sheng, B. Wu, A. González-Sanz, and M. Nutz.
    Stability of Mean-Field Variational Inference
    arXiv preprint, 2025.
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  • D. R. Kowal and B. Wu.
    Semiparametric Discrete Data Regression with Monte Carlo Inference and Prediction
    arXiv preprint, 2021.
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Publications
  • B. Wu*, E. N. Weinstein*, S. Salehi, Y. Wang, and D. M. Blei.
    Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes
    Journal of Machine Learning Research, 27(123):1-63, 2026.
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  • B. Wu and D. M. Blei.
    Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
    Journal of Machine Learning Research, 2026.
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  • B. Wu and C. A. Uribe.
    Frequentist Guarantees of Distributed (Non)-Bayesian Inference
    Journal of Machine Learning Research, 2025.
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  • D. R. Kowal and B. Wu.
    Monte Carlo Inference for Semiparametric Bayesian Regression
    Journal of the American Statistical Association, 2025.
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  • B. Wu, B. Zhu, and D. M. Blei.
    Distributionally Robust Posterior Sampling: A Variational Bayes Approach
    ICLR Workshop on Frontiers in Probabilistic Inference: Learning Meets Sampling, 2025 (Oral Presentation).
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  • D. R. Kowal and B. Wu.
    Semiparametric Count Data Regression for Self-Reported Mental Health
    Biometrics, 2023.
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