Brian D. Ziebart
3 papers in the PaperMetrix corpus
Papers by this author
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Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction
2015 · Proceedings of the AAAI Conference on Artificial Intelligence
Existing approaches to active learning are generally optimistic about their certainty with respect to data shift between labeled and unlabeled data. They assume that unknown datapoint labels follow the inductive biases of the active learner. …
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Consistent Robust Adversarial Prediction for General Multiclass Classification
2018 · arXiv (Cornell University)
We propose a robust adversarial prediction framework for general multiclass classification. Our method seeks predictive distributions that robustly optimize non-convex and non-continuous multiclass loss metrics against the worst-case conditional label distributions (the adversarial distributions) that …
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Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
2023 · arXiv (Cornell University)
We consider the problem of learning the exact skeleton of general discrete Bayesian networks from potentially corrupted data. Building on distributionally robust optimization and a regression approach, we propose to optimize the most adverse risk …