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