Subramonian, Arjun

8 publications

ICLR 2025 An Effective Theory of Bias Amplification Arjun Subramonian, Samuel Bell, Levent Sagun, Elvis Dohmatob

ICLR 2025 Strong Model Collapse Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe

ICML 2024 Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Arjun Subramonian, Levent Sagun, Yizhou Sun

NeurIPS 2024 Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks Arjun Subramonian, Jian Kang, Yizhou Sun

NeurIPSW 2023 Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Arjun Subramonian, Levent Sagun, Yizhou Sun

NeurIPSW 2022 Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD Arjun Subramonian, Levent Sagun, Kai-Wei Chang, Yizhou Sun

NeurIPS 2022 On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs Arjun Subramonian, Kai-Wei Chang, Yizhou Sun

AAAI 2021 MOTIF-Driven Contrastive Learning of Graph Representations Arjun Subramonian