Rizal Fathony

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Risk Minimization

Multiclass Classification

Attributed Graphs

Learning To Rank Algorithms

Top Venues

Publications

Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
Partitioning Message Passing for Graph Fraud Detection. ICLR (2024)
Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision. ICLR (2024)
Omid Memarrast, Ashkan Rezaei, Rizal Fathony, Brian D. Ziebart
Fairness for Robust Learning to Rank. PAKDD (1) (2023)
Rizal Fathony, Jenn Ng, Jia Chen
Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs. IJCNN (2023)
Soji Adeshina, Jian Zhang, Muhyun Kim, Min Chen, Rizal Fathony, Advitiya Vashisht, Jia Chen, George Karypis
PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks. ICKG (2022)
Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter
Multiplicative Filter Networks. ICLR (2021)
Omid Memarrast, Ashkan Rezaei, Rizal Fathony, Brian D. Ziebart
Fairness for Robust Learning to Rank. CoRR (2021)
Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart
Fairness for Robust Log Loss Classification. AAAI (2020)
Rizal Fathony, J. Zico Kolter
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. AISTATS (2020)
Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart
Fair Logistic Regression: An Adversarial Perspective. CoRR (2019)
Rizal Fathony, J. Zico Kolter
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. CoRR (2019)
Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian D. Ziebart
Efficient and Consistent Adversarial Bipartite Matching. ICML (2018)
Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart
Consistent Robust Adversarial Prediction for General Multiclass Classification. CoRR (2018)
Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart
Distributionally Robust Graphical Models. CoRR (2018)
Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart
Distributionally Robust Graphical Models. NeurIPS (2018)
Rizal Fathony, Mohammad Ali Bashiri, Brian D. Ziebart
Adversarial Surrogate Losses for Ordinal Regression. NIPS (2017)
Anqi Liu, Rizal Fathony, Brian D. Ziebart
Kernel Robust Bias-Aware Prediction under Covariate Shift. CoRR (2017)
Rizal Fathony, Anqi Liu, Kaiser Asif, Brian D. Ziebart
Adversarial Multiclass Classification: A Risk Minimization Perspective. NIPS (2016)