| Adversarial multiclass classification: A risk minimization perspective R Fathony, A Liu, K Asif, B Ziebart Advances in Neural Information Processing Systems 29, 559-567, 2016 | 22 | 2016 |
| Adversarial Surrogate Losses for Ordinal Regression. R Fathony, MA Bashiri, BD Ziebart NIPS, 563-573, 2017 | 19 | 2017 |
| Efficient and consistent adversarial bipartite matching R Fathony, S Behpour, X Zhang, B Ziebart International Conference on Machine Learning, 1457-1466, 2018 | 13 | 2018 |
| Distributionally robust graphical models R Fathony, A Rezaei, MA Bashiri, X Zhang, BD Ziebart arXiv preprint arXiv:1811.02728, 2018 | 12 | 2018 |
| Fairness for robust log loss classification A Rezaei, R Fathony, O Memarrast, B Ziebart Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5511-5518, 2020 | 5 | 2020 |
| Fair logistic regression: An adversarial perspective A Rezaei, R Fathony, O Memarrast, B Ziebart arXiv preprint arXiv:1903.03910, 2019 | 5 | 2019 |
| Consistent robust adversarial prediction for general multiclass classification R Fathony, K Asif, A Liu, MA Bashiri, W Xing, S Behpour, X Zhang, ... arXiv preprint arXiv:1812.07526, 2018 | 5 | 2018 |
| AP-perf: Incorporating generic performance metrics in differentiable learning R Fathony, Z Kolter International Conference on Artificial Intelligence and Statistics, 4130-4140, 2020 | 3 | 2020 |
| Performance-Aligned Learning Algorithms with Statistical Guarantees RZA Fathony University of Illinois at Chicago, 2019 | | 2019 |
| Kernel Robust Bias-Aware Prediction under Covariate Shift A Liu, R Fathony, BD Ziebart arXiv preprint arXiv:1712.10050, 2017 | | 2017 |
| MULTIPLICATIVE FILTER NETWORKS R Fathony, AK Sahu, AA AI, D Willmott, JZ Kolter | | |
Brian D ZiebartAssociate Professor of Computer Science, University of Illinois at ChicagoVahvistettu sähköpostiosoite verkkotunnuksessa uic.edu
