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Rizal Fathony
Rizal Fathony
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Title
Cited by
Cited by
Year
Multiplicative Filter Networks
R Fathony, AK Sahu, D Willmott, JZ Kolter
International Conference on Learning Representations, 2021
1322021
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
652020
Adversarial multiclass classification: A risk minimization perspective
R Fathony, A Liu, K Asif, B Ziebart
Advances in Neural Information Processing Systems 29, 2016
422016
Adversarial surrogate losses for ordinal regression
R Fathony, MA Bashiri, B Ziebart
Advances in Neural Information Processing Systems 30, 2017
312017
Distributionally robust graphical models
R Fathony, A Rezaei, MA Bashiri, X Zhang, BD Ziebart
Advances in Neural Information Processing Systems, 2018
262018
Efficient and consistent adversarial bipartite matching
R Fathony, S Behpour, X Zhang, B Ziebart
International Conference on Machine Learning, 1457-1466, 2018
172018
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
112018
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
102023
Ap-perf: Incorporating generic performance metrics in differentiable learning
R Fathony, Z Kolter
International Conference on Artificial Intelligence and Statistics, 4130-4140, 2020
102020
Fair logistic regression: An adversarial perspective
A Rezaei, R Fathony, O Memarrast, BD Ziebart
72019
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
42023
Discrete Wasserstein Generative Adversarial Networks (DWGAN)
R Fathony, N Goela
32018
Fairness for Robust Learning to Rank. CoRR abs/2112.06288 (2021)
O Memarrast, A Rezaei, R Fathony, BD Ziebart
arXiv preprint arXiv:2112.06288, 2021
22021
Kernel robust bias-aware prediction under covariate shift
A Liu, R Fathony, BD Ziebart
arXiv preprint arXiv:1712.10050, 2017
22017
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
12023
Performance-Aligned Learning Algorithms with Statistical Guarantees
RZA Fathony
University of Illinois at Chicago, 2019
12019
Statistika dan Machine Learning: Satu Ilmu Dua Wajah
RZA Fathony
Chicago: University of Illinois Chicago, 2015
12015
Predicting sound pleasantness using regression prediction machine learning model
F Schorn, F Lang, T Alber, M Kuka, C Au, FJC CONDESSA, RZA Fathony
US Patent App. 17/977,574, 2024
2024
Predicting sound pleasantness using binary classification model and regression
F Schorn, F Lang, T Alber, M Kuka, C Au, FJC CONDESSA, RZA Fathony
US Patent App. 17/977,587, 2024
2024
Device and method for training a classifier
R Fathony, F Schmidt, JZ Kolter
US Patent 11,960,991, 2024
2024
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