Publications

  1. Direct Learning with Guarantees of the Difference DAG Between Structural Equation Models. [PDF]
    A. Ghoshal, K. Bello, J. Honorio
    Under review.
  2. On the Fundamental Limits of Exact Inference in Structured Prediction. [PDF]
    H. Lee, K. Bello, J. Honorio
    ISIT’22. IEEE International Symposium on Information Theory, 2022.
  3. A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy. [PDF]
    K. Bello, C. Ke, J. Honorio
    AISTATS’22. International Conference on Artificial Intelligence and Statistics, 2022.
  4. Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees. [PDF]
    G. Dexter, K. Bello, J. Honorio
    NeurIPS’21. Annual Conference on Neural Information Processing Systems, 2021.
  5. A Le Cam Type Bound for Adversarial Learning and Applications. [PDF]
    Q. Xu*, K. Bello*, J. Honorio. (* Equal contribution)
    ISIT’21. IEEE International Symposium on Information Theory, 2021.
  6. Fairness Constraints can Help Exact Inference in Structured Prediction. [PDF]
    K. Bello, J. Honorio
    NeurIPS’20. Annual Conference on Neural Information Processing Systems, 2020.
  7. Minimax Bounds for Structured Prediction Based on Factor Graphs. [PDF]
    K. Bello, A. Ghoshal, J. Honorio
    AISTATS’20. International Conference on Artificial Intelligence and Statistics, 2020.
  8. Exact Inference in Structured Prediction. [PDF]
    K. Bello, J. Honorio
    NeurIPS’19. Annual Conference on Neural Information Processing Systems, 2019.
  9. Learning Latent Variable Structured Prediction Models with Gaussian Perturbations. [PDF]
    K. Bello, J. Honorio
    NeurIPS’18. Annual Conference on Neural Information Processing Systems, 2018.
  10. Computationally and Statistically Efficient Learning of Bayes Nets Using Path Queries. [PDF]
    K. Bello, J. Honorio
    NeurIPS’18. Annual Conference on Neural Information Processing Systems, 2018.