Chien, Eli

22 publications

ICLR 2025 Convergent Privacy Loss of Noisy-SGD Without Convexity and Smoothness Eli Chien, Pan Li

NeurIPS 2025 Differentially Private Relational Learning with Entity-Level Privacy Guarantees Yinan Huang, Haoteng Yin, Eli Chien, Rongzhe Wei, Pan Li

NeurIPS 2025 Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li

ICLR 2025 LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li

ICLRW 2025 LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li

ICLRW 2025 Privately Learning from Graphs with Applications in Fine-Tuning Large Pretrained Models Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li

ICML 2025 Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien

NeurIPS 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent Eli Chien, Haoyu Wang, Ziang Chen, Pan Li

NeurIPS 2024 Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei, Eli Chien, Pan Li

TMLR 2024 Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic

ICLRW 2024 Langevin Unlearning Eli Chien, Haoyu Peter Wang, Ziang Chen, Pan Li

NeurIPS 2024 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien, Haoyu Wang, Ziang Chen, Pan Li

TMLR 2024 On the Inherent Privacy Properties of Discrete Denoising Diffusion Models Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li

NeurIPS 2023 Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic

ICLR 2023 Efficient Model Updates for Approximate Unlearning of Graph-Structured Data Eli Chien, Chao Pan, Olgica Milenkovic

ICML 2023 PINA: Leveraging Side Information in eXtreme Multi-Label Classification via Predicted Instance Neighborhood Aggregation Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu

ICML 2023 Representer Point Selection for Explaining Regularized High-Dimensional Models Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar

NeurIPSW 2022 Certified Graph Unlearning Eli Chien, Chao Pan, Olgica Milenkovic

ICLR 2022 Node Feature Extraction by Self-Supervised Multi-Scale Neighborhood Prediction Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S Dhillon

ICLR 2022 You Are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic

ICLR 2021 Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic

AAAI 2020 Active Learning in the Geometric Block Model Eli Chien, Antonia M. Tulino, Jaime Llorca