1. NeurIPS
    Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
    Yang, W., Kirichenko, P., Goldblum, M., and Wilson, A. G.
    In Advances in Neural Information Processing Systems,  2022.


  1. NeurIPS
    Incorporating Interpretable Output Constraints in Bayesian Neural Networks
    Yang, W., Lorch, L., Graule, M. A., Lakkaraju, H., and Doshi-Velez, F.
    In Advances in Neural Information Processing Systems,  2020.
    [Accepted as spotlight paper, top ~3% of papers.]
  2. Thesis
    Making Decisions Under High Stakes: Trustworthy and Expressive Bayesian Deep Learning
    Yang, W.
    Senior Thesis, Harvard University,  2020.
    (PDF below contains post hoc corrections for minor errata.)
  3. PLOS CB
    Discovery of Hierarchical Representations for Efficient Planning
    Tomov, M. S., Yagati, S., Kumar, A., Yang, W., and Gershman, S. J.
    PLOS Computational Biology,  2020.


  1. ICML Workshop
    Output-Constrained Bayesian Neural Networks
    Yang, W.*, Lorch, L.*, Graule, M. A.*, Srinivasan, S., Suresh, A., Yao, J., Pradier, M. F., and Doshi-Velez, F.
    In 36th International Conference on Machine Learning Workshop on Uncertainty and Robustness in Deep Learning,  2019.