Multiplicative Filter Networks R Fathony, AK Sahu, D Willmott, JZ Kolter International Conference on Learning Representations, 2021 | 116 | 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 | 62 | 2020 |
Adversarial multiclass classification: A risk minimization perspective R Fathony, A Liu, K Asif, B Ziebart Advances in Neural Information Processing Systems 29, 2016 | 41 | 2016 |
Adversarial surrogate losses for ordinal regression R Fathony, MA Bashiri, B Ziebart Advances in Neural Information Processing Systems 30, 2017 | 31 | 2017 |
Distributionally robust graphical models R Fathony, A Rezaei, MA Bashiri, X Zhang, BD Ziebart Advances in Neural Information Processing Systems, 2018 | 26 | 2018 |
Efficient and consistent adversarial bipartite matching R Fathony, S Behpour, X Zhang, B Ziebart International Conference on Machine Learning, 1457-1466, 2018 | 17 | 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 | 10 | 2023 |
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 | 10 | 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 |
Fair logistic regression: An adversarial perspective A Rezaei, R Fathony, O Memarrast, BD Ziebart | 7 | 2019 |
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 | 3 | 2023 |
Discrete Wasserstein Generative Adversarial Networks (DWGAN) R Fathony, N Goela | 3 | 2018 |
Kernel robust bias-aware prediction under covariate shift A Liu, R Fathony, BD Ziebart arXiv preprint arXiv:1712.10050, 2017 | 2 | 2017 |
Partitioning Message Passing for Graph Fraud Detection W Zhuo, Z Liu, B Hooi, B He, G Tan, R Fathony, J Chen The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
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 |
SYSTEMS AND METHODS FOR EXPERT GUIDED SEMI-SUPERVISION WITH CONTRASTIVE LOSS FOR MACHINE LEARNING MODELS RZA Fathony, C Condessa, J Filipe, BK Soren, F Schorn, F Lang, T Alber, ... US Patent App. 17/888,849, 2024 | | 2024 |
Systems and methods for expert guided semi-supervision with label propagation for machine learning models RZA Fathony, FJC CONDESSA, BK Soren, F Schorn, F Lang, T Alber, ... US Patent App. 17/888,605, 2024 | | 2024 |
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision N Chen, Z Liu, B Hooi, B He, R Fathony, J Hu, J Chen The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
Multiplicative filter network D Willmott, AK Sahu, R Fathony, FC Condessa, JZ Kolter US Patent 11,526,965, 2022 | | 2022 |