| Multiplicative Filter Networks R Fathony, AK Sahu, D Willmott, JZ Kolter International Conference on Learning Representations, 2021 | 81 | 2021 |
| 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 | 55 | 2020 |
| Adversarial multiclass classification: A risk minimization perspective R Fathony, A Liu, K Asif, B Ziebart Advances in Neural Information Processing Systems 29, 2016 | 39 | 2016 |
| Adversarial surrogate losses for ordinal regression R Fathony, MA Bashiri, B Ziebart Advances in Neural Information Processing Systems 30, 2017 | 29 | 2017 |
| Distributionally robust graphical models R Fathony, A Rezaei, MA Bashiri, X Zhang, BD Ziebart Advances in Neural Information Processing Systems, 2018 | 23 | 2018 |
| Efficient and consistent adversarial bipartite matching R Fathony, S Behpour, X Zhang, B Ziebart International Conference on Machine Learning, 1457-1466, 2018 | 16 | 2018 |
| Ap-perf: Incorporating generic performance metrics in differentiable learning R Fathony, Z Kolter International Conference on Artificial Intelligence and Statistics, 4130-4140, 2020 | 9 | 2020 |
| 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 | 9 | 2018 |
| Fairness for robust learning to rank O Memarrast, A Rezaei, R Fathony, B Ziebart Pacific-Asia Conference on Knowledge Discovery and Data Mining, 544-556, 2023 | 8 | 2023 |
| Fair logistic regression: An adversarial perspective A Rezaei, R Fathony, O Memarrast, BD Ziebart | 7 | 2019 |
| Discrete Wasserstein Generative Adversarial Networks (DWGAN) R Fathony, N Goela | 2 | 2018 |
| Kernel robust bias-aware prediction under covariate shift A Liu, R Fathony, BD Ziebart arXiv preprint arXiv:1712.10050, 2017 | 2 | 2017 |
| Performance-Aligned Learning Algorithms with Statistical Guarantees RZA Fathony University of Illinois at Chicago, 2019 | 1 | 2019 |
| Statistika dan Machine Learning: Satu Ilmu Dua Wajah RZA Fathony Chicago: University of Illinois Chicago, 2015 | 1 | 2015 |
| Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs R Fathony, J Ng, J Chen 2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023 | | 2023 |
| Multiplicative filter network D Willmott, AK Sahu, R Fathony, FC Condessa, JZ Kolter US Patent 11,526,965, 2022 | | 2022 |
| PropInit: Scalable inductive initialization for heterogeneous graph neural networks S Adeshina, J Zhang, M Kim, M Chen, R Fathony, A Vashisht, J Chen, ... 2022 IEEE International Conference on Knowledge Graph (ICKG), 6-13, 2022 | | 2022 |
| Device and method for training a classifier R Fathony, F Schmidt, JZ Kolter US Patent App. 16/950,396, 2021 | | 2021 |
| Statistika↔ Machine Learning RZA Fathony | | |
Brian D ZiebartAssociate Professor of Computer Science, University of Illinois at ChicagoGeverifieerd e-mailadres voor uic.edu
