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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
1072021
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
612020
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
302017
Distributionally robust graphical models
R Fathony, A Rezaei, MA Bashiri, X Zhang, BD Ziebart
Advances in Neural Information Processing Systems, 2018
252018
Efficient and consistent adversarial bipartite matching
R Fathony, S Behpour, X Zhang, B Ziebart
International Conference on Machine Learning, 1457-1466, 2018
162018
Ap-perf: Incorporating generic performance metrics in differentiable learning
R Fathony, Z Kolter
International Conference on Artificial Intelligence and Statistics, 4130-4140, 2020
92020
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
92018
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
82023
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
32023
Discrete Wasserstein Generative Adversarial Networks (DWGAN)
R Fathony, N Goela
22018
Kernel robust bias-aware prediction under covariate shift
A Liu, R Fathony, BD Ziebart
arXiv preprint arXiv:1712.10050, 2017
22017
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
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
2023
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
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
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