Fathony, Rizal

10 publications

ICLR 2025 Multi-Label Node Classification with Label Influence Propagation Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He

ICLR 2024 Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen

ICLR 2024 Partitioning Message Passing for Graph Fraud Detection Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen

ICLR 2021 Multiplicative Filter Networks Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J Zico Kolter

AISTATS 2020 AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning Rizal Fathony, Zico Kolter

AAAI 2020 Fairness for Robust Log Loss Classification Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart

NeurIPS 2018 Distributionally Robust Graphical Models Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian Ziebart

ICML 2018 Efficient and Consistent Adversarial Bipartite Matching Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian Ziebart

NeurIPS 2017 Adversarial Surrogate Losses for Ordinal Regression Rizal Fathony, Mohammad Ali Bashiri, Brian Ziebart

NeurIPS 2016 Adversarial Multiclass Classification: A Risk Minimization Perspective Rizal Fathony, Anqi Liu, Kaiser Asif, Brian Ziebart