Chang, Xiangyu

1. Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
   2020/12/16 by Chang, Xiangyu, Li, Yingcong, Oymak, Samet +1 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Variance reduced Shapley value estimation for trustworthy data valuation
   2022/10/30 by Mengmeng Wu, Wu, Mengmeng, Ruoxi Jia +7 · 5 citations
   Computer Science · Decision Sciences · #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Probability and Risk Models
3. Selective Attention: Enhancing Transformer through Principled Context Control
   2024/11/19 by Xuechen Zhang, Zhang, Xuechen, Xiangyu Chang +10 · 1 voice · 6 citations
   Psychology · #cs.LG #cs.CL
4. 2D-Shapley: A Framework for Fragmented Data Valuation
   2023/06/18 by Zhihong Liu, Liu, Zhihong, Hoang Anh Just +7 · 2 citations
   Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Randomized Spectral Clustering in Large-Scale Stochastic Block Models
   2020/01/20 by Zhang, Hai, Guo, Xiao, Chang, Xiangyu · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Social and Information Networks (cs.SI)
6. Randomized spectral co-clustering for large-scale directed networks
   2020/04/25 by Guo, Xiao, Qiu, Yixuan, Zhang, Hai +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Social and Information Networks (cs.SI)
7. Kernel Interpolation of High Dimensional Scattered Data
   2020/09/03 by Lin, Shao-Bo, Chang, Xiangyu, Sun, Xingping · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
8. FedPower: Privacy-Preserving Distributed Eigenspace Estimation
   2021/03/01 by Xiao Guo, Xiang Li, Guo, Xiao +7 · 1 citation
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Random Matrices and Applications #Stochastic Gradient Optimization Techniques
9. Explicit Superlinear Convergence Rates of The SR1 Algorithm
   2021/05/15 by Haishan Ye, Ye, Haishan, Dachao Lin +5 · 1 citation
   Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Iterative Methods for Nonlinear Equations #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
10. FedYolo: Augmenting Federated Learning with Pretrained Transformers
    2023/07/10 by Xuechen Zhang, Zhang, Xuechen, Mingchen Li +11 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Age of Information Optimization
11. A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
    2023/10/10 by Wu, Ying, Liu, Hanzhong, Ren, Kai +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
12. Provable Benefits of Task-Specific Prompts for In-context Learning
    2025/03/03 by Chang, Xiangyu, Li, Yingcong, Kara, Muti +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
13. When and How Unlabeled Data Provably Improve In-Context Learning
    2025/06/18 by Yingcong Li, Li, Yingcong, Xiangyu Chang +8 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Control (math.OC)