Eli Chien

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 43

Top Topics

Linear Classifiers

Structured Data

Diffusion Models

Top Venues

Publications

Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
Stochastic Gradient Langevin Unlearning. CoRR (2024)
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning. CoRR (2024)
Rongzhe Wei, Eli Chien, Pan Li
Differentially Private Graph Diffusion with Applications in Personalized PageRanks. CoRR (2024)
Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. Trans. Mach. Learn. Res. 2024 (2024)
Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu
Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. WWW (2024)
Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
Machine Unlearning of Pre-trained Large Language Models. ACL (1) (2024)
Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
Machine Unlearning of Pre-trained Large Language Models. CoRR (2024)
Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. CoRR (2023)
Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. CoRR (2023)
Chao Pan, Eli Chien, Olgica Milenkovic
Unlearning Graph Classifiers with Limited Data Resources. WWW (2023)
Eli Chien, Chao Pan, Olgica Milenkovic
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data. ICLR (2023)
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. ICML (2023)
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar
Representer Point Selection for Explaining Regularized High-dimensional Models. ICML (2023)
Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic
Provably accurate and scalable linear classifiers in hyperbolic spaces. Knowl. Inf. Syst. 65 (4) (2023)
Che-Ping Tsai, Jiong Zhang, Eli Chien, Hsiang-Fu Yu, Cho-Jui Hsieh, Pradeep Ravikumar
Representer Point Selection for Explaining Regularized High-dimensional Models. CoRR (2023)
Vishal Rana, Eli Chien, Jianhao Peng, Olgica Milenkovic
Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. CoRR (2023)
Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. CoRR (2023)
Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. NeurIPS (2023)
Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning. CoRR (2023)
Chao Pan, Eli Chien, Olgica Milenkovic
Unlearning Nonlinear Graph Classifiers in the Limited Training Data Regime. CoRR (2022)
Eli Chien, Puoya Tabaghi, Olgica Milenkovic
HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. KDD (2022)
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. ICLR (2022)
Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces. CoRR (2022)
Eli Chien, Puoya Tabaghi, Olgica Milenkovic
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering. CoRR (2022)
Eli Chien, Chao Pan, Olgica Milenkovic
Certified Graph Unlearning. CoRR (2022)
Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. ICLR (2022)
Eli Chien, Olgica Milenkovic, Angelia Nedich
Support Estimation with Sampling Artifacts and Errors. ISIT (2021)
Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
Highly Scalable and Provably Accurate Classification in Poincare Balls. CoRR (2021)
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. CoRR (2021)
Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. CoRR (2021)
Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
Highly Scalable and Provably Accurate Classification in Poincaré Balls. ICDM (2021)
Eli Chien, Pan Li, Olgica Milenkovic
Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. ITW (2021)
Puoya Tabaghi, Eli Chien, Chao Pan, Olgica Milenkovic
Linear Classifiers in Mixed Constant Curvature Spaces. CoRR (2021)
Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic
Adaptive Universal Generalized PageRank Graph Neural Network. ICLR (2021)
Eli Chien, Antonia Maria Tulino, Jaime Llorca
Active Learning in the Geometric Block Model. AAAI (2020)
Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic
Joint Adaptive Feature Smoothing and Topology Extraction via Generalized PageRank GNNs. CoRR (2020)
Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic
Multi-MotifGAN (MMGAN): Motif-Targeted Graph Generation And Prediction. ICASSP (2020)
Eli Chien, Olgica Milenkovic, Angelia Nedich
Support Estimation with Sampling Artifacts and Errors. CoRR (2020)
Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction. CoRR (2019)
Eli Chien, Antonia Maria Tulino, Jaime Llorca
Active learning in the geometric block model. CoRR (2019)
Eli Chien, Pan Li, Olgica Milenkovic
Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. CoRR (2019)