Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Kernel Robust Bias-Aware Prediction under Covariate Shift

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


  Access Paper or Ask Questions

Robust Covariate Shift Prediction with General Losses and Feature Views

Dec 28, 2017
Anqi Liu, Brian D. Ziebart


  Access Paper or Ask Questions

Adversarial Structured Prediction for Multivariate Measures

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


  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions