| 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 | 26 | 2020 |
| Adversarial multiclass classification: A risk minimization perspective R Fathony, A Liu, K Asif, B Ziebart Advances in Neural Information Processing Systems 29, 2016 | 26 | 2016 |
| Adversarial surrogate losses for ordinal regression R Fathony, MA Bashiri, B Ziebart Advances in Neural Information Processing Systems 30, 2017 | 20 | 2017 |
| Distributionally robust graphical models R Fathony, A Rezaei, MA Bashiri, X Zhang, BD Ziebart Advances in Neural Information Processing Systems, 2018 | 15 | 2018 |
| Efficient and consistent adversarial bipartite matching R Fathony, S Behpour, X Zhang, B Ziebart International Conference on Machine Learning, 1457-1466, 2018 | 13 | 2018 |
| Ap-perf: Incorporating generic performance metrics in differentiable learning R Fathony, Z Kolter International Conference on Artificial Intelligence and Statistics, 4130-4140, 2020 | 8 | 2020 |
| Multiplicative Filter Networks R Fathony, AK Sahu, D Willmott, JZ Kolter International Conference on Learning Representations, 2021 | 7 | 2021 |
| 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 | 7 | 2018 |
| Fair logistic regression: An adversarial perspective A Rezaei, R Fathony, O Memarrast, BD Ziebart | 6 | 2019 |
| Discrete Wasserstein Generative Adversarial Networks (DWGAN) R Fathony, N Goela | 1 | 2018 |
| Kernel robust bias-aware prediction under covariate shift A Liu, R Fathony, BD Ziebart arXiv preprint arXiv:1712.10050, 2017 | 1 | 2017 |
| Multiplicative Filter Network D Willmott, AK Sahu, R Fathony, FC Condessa, JZ Kolter US Patent App. 17/034,496, 2022 | | 2022 |
| Fairness for Robust Learning to Rank O Memarrast, A Rezaei, R Fathony, B Ziebart arXiv preprint arXiv:2112.06288, 2021 | | 2021 |
| Device and method for training a classifier R Fathony, F Schmidt, JZ Kolter US Patent App. 16/950,396, 2021 | | 2021 |
| Performance-Aligned Learning Algorithms with Statistical Guarantees RZA Fathony University of Illinois at Chicago, 2019 | | 2019 |
Brian D ZiebartAssociate Professor of Computer Science, University of Illinois at ChicagoVahvistettu sähköpostiosoite verkkotunnuksessa uic.edu
