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Brian D. Ziebart

Distributionally Robust Skeleton Learning of Discrete Bayesian Networks

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Nov 10, 2023
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Consistent Robust Adversarial Prediction for General Multiclass Classification

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Dec 18, 2018
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Distributionally Robust Graphical Models

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Nov 07, 2018
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Kernel Robust Bias-Aware Prediction under Covariate Shift

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Dec 28, 2017
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Robust Covariate Shift Prediction with General Losses and Feature Views

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Dec 28, 2017
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Adversarial Structured Prediction for Multivariate Measures

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Dec 21, 2017
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ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection

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Dec 12, 2017
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Computational Rationalization: The Inverse Equilibrium Problem

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Aug 15, 2013
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Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification

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Jun 20, 2012
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