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Consistent Robust Adversarial Prediction for General Multiclass Classification


Dec 18, 2018
Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart

* 48 pages, 10 figures 

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Distributionally Robust Graphical Models


Nov 07, 2018
Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart

* Appears in Neural Information Processing Systems, 2018 

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Kernel Robust Bias-Aware Prediction under Covariate Shift


Dec 28, 2017
Anqi Liu, Rizal Fathony, Brian D. Ziebart


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Robust Covariate Shift Prediction with General Losses and Feature Views


Dec 28, 2017
Anqi Liu, Brian D. Ziebart


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Adversarial Structured Prediction for Multivariate Measures


Dec 21, 2017
Hong Wang, Ashkan Rezaei, Brian D. Ziebart


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ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection


Dec 12, 2017
Sima Behpour, Kris M. Kitani, Brian D. Ziebart


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Computational Rationalization: The Inverse Equilibrium Problem


Aug 15, 2013
Kevin Waugh, Brian D. Ziebart, J. Andrew Bagnell

* In submission to JMLR, conference version: arXiv:1103.5254 

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Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification


Jun 20, 2012
Brian D. Ziebart, Anind K. Dey, J Andrew Bagnell

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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