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Xia, Dong

  1. Tensor SVD: Statistical and Computational Limits
    2017/03/08 by Zhang, Anru, Xia, Dong · 10 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  2. Perturbation of linear forms of singular vectors under Gaussian noise
    2015/06/09 by Vladimir Koltchinskii, Koltchinskii, Vladimir, Dong Xia +1 · 4 citations
    Engineering · Mathematics · Physics and Astronomy · #FOS: Mathematics #Probability (math.PR) #Quantum optics and atomic interactions #Random Matrices and Applications #Sparse and Compressive Sensing Techniques
  3. Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition
    2020/02/10 by Bing‐Yi Jing, Jing, Bing-Yi, Ting Li +5 · 4 citations
    Mathematics · Social Sciences · #FOS: Computer and information sciences #FOS: Mathematics #Human Mobility and Location-Based Analysis #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Social and Information Networks (cs.SI) #Statistics Theory (math.ST) #Tensor decomposition and applications
  4. Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries
    2017/11/14 by Dong Xia, Xia, Dong, Ming Yuan +3 · 3 citations
    Mathematics · Engineering · Computer Science · #Tensor decomposition and applications #Sparse and Compressive Sensing Techniques #Blind Source Separation Techniques
  5. Provable Tensor-Train Format Tensor Completion by Riemannian Optimization
    2021/08/27 by Cai, Jian-Feng, Li, Jingyang, Xia, Dong · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
  6. Community Detection for Hypergraph Networks via Regularized Tensor Power Iteration
    2019/09/14 by Zheng Tracy Ke, Feng Shi, Ke, Zheng Tracy +3 · 3 citations
    Mathematics · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST) #Tensor decomposition and applications
  7. On Polynomial Time Methods for Exact Low Rank Tensor Completion
    2017/02/22 by Xia, Dong, Yuan, Ming · 2 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition
    2021/06/30 by Zhongyuan Lyu, Lyu, Zhongyuan, Dong Xia +3 · 2 citations
    Mathematics · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Methodology (stat.ME) #Statistics Theory (math.ST) #Tensor decomposition and applications
  9. Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures
    2022/01/22 by Lyu, Zhongyuan, Xia, Dong · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  10. Inference for Low-rank Tensors -- No Need to Debias
    2020/12/29 by Dong Xia, Xia, Dong, Anru R. Zhang +3 · 2 citations
    Engineering · Mathematics · Medicine · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Radiation Therapy and Dosimetry #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Tensor decomposition and applications
  11. Higher-order accurate two-sample network inference and network hashing
    2022/08/16 by Meijia Shao, Dong Xia, Shao, Meijia +7 · 2 citations
    Medicine · Computer Science · #SARS-CoV-2 detection and testing #Infectious Encephalopathies and Encephalitis #Anomaly Detection Techniques and Applications
  12. Effective Tensor Sketching via Sparsification
    2017/10/31 by Dong Xia, Ming Yuan, Xia, Dong +1 · 1 citation
    Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Methodology (stat.ME) #Numerical Analysis (math.NA) #Tensor decomposition and applications
  13. Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
    2022/09/28 by Cai, Tianxi, Xia, Dong, Zhang, Luwan +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
    2024/01/08 by Cai, T. Tony, Xia, Dong, Zha, Mengyue · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  15. Online Quantile Regression
    2024/02/07 by Yinan Shen, Dong Xia, Shen, Yinan +3 · 2 citations
    Computer Science · Mathematics · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning and ELM #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
  16. Deterministic Zeckendorf Games
    2020/06/30 by Li, Ruoci, Li, Xiaonan, Miller, Steven J. +4 · 1 citation
    #FOS: Mathematics #Number Theory (math.NT)
  17. Local Prediction-Powered Inference
    2024/09/26 by Gu, Yanwu, Xia, Dong · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  18. Optimal Regularized Online Allocation by Adaptive Re-Solving
    2022/09/01 by Wanteng Ma, Ma, Wanteng, Ying Cao +5 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  19. Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates
    2024/11/10 by Congyuan Duan, Wanteng Ma, Duan, Congyuan +5 · 2 citations
    Business, Management and Accounting · Computer Science · #Big Data and Business Intelligence #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
  20. Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression
    2023/05/10 by Shen, Yinan, Li, Jingyang, Cai, Jian-Feng +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  21. Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret
    2023/06/06 by Jingyang Li, Jian-Feng Cai, Li, Jingyang +4 · 1 citation
    Engineering · Mathematics · #Advanced SAR Imaging Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
  22. U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments
    2023/06/06 by Shao, Meijia, Xia, Dong, Zhang, Yuan · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
  23. Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps
    2024/10/15 by Ma, Wanteng, Xia, Dong · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)