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Harrison H. Zhou

  1. Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants
    2016/12/07 by Y. Lu, Harrison H. Zhou, Lu, Yu +1 · 14 citations
    Physics and Astronomy · Mathematics · #Statistical Mechanics and Entropy #Advanced Mathematical Theories and Applications #Statistical and numerical algorithms
  2. Optimal rates of convergence for covariance matrix estimation
    2010/07/12 by T. Tony Cai, Cun-Hui Zhang, Harrison H. Zhou · 4 citations
    Mathematics · Computer Science · #Random Matrices and Applications #Direction-of-Arrival Estimation Techniques #Distributed Sensor Networks and Detection Algorithms
  3. Theoretical and Computational Guarantees of Mean Field Variational\n Inference for Community Detection
    2017/10/30 by Anderson Y. Zhang, Zhang, Anderson Y., Harrison H. Zhou +1 · 3 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Social and Information Networks (cs.SI) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
  4. Law of log determinant of sample covariance matrix and optimal estimation of differential entropy for high-dimensional Gaussian distributions
    2015/02/20 by T. Tony Cai, Tommaso Cai, Tengyuan Liang +1 · 3 citations
    Computer Science · Mathematics · Economics, Econometrics and Finance · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Financial Risk and Volatility Modeling
  5. Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model
    2013/09/23 by Mengjie Chen, Chen, Mengjie, Zhao Ren +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Genetic and phenotypic traits in livestock #Methodology (stat.ME) #Statistics Theory (math.ST)
  6. Estimating sparse precision matrix: Optimal rates of convergence and adaptive estimation
    2016/04/01 by T. Tony Cai, Weidong Liu, Harrison H. Zhou · 2 citations
  7. Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
    2022/05/30 by Anderson Y. Zhang, Zhang, Anderson Y., Harrison H. Zhou +1 · 3 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  8. Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in O(√(n)) iterations
    2019/08/28 by Yihong Wu, Harrison H. Zhou, Wu, Yihong +1 · 2 citations
    Computer Science · #Algorithms and Data Compression #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST)
  9. Achieving Optimal Misclassification Proportion in Stochastic Block Model
    2015/05/14 by Chao Gao, Gao, Chao, Zongming Ma +5 · 3 citations
    Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Network Traffic and Congestion Control #Opinion Dynamics and Social Influence #Social and Information Networks (cs.SI) #Statistics Theory (math.ST)
  10. Sparse CCA: Adaptive Estimation and Computational Barriers
    2014/09/30 by Chao Gao, Gao, Chao, Zongming Ma +3 · 3 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
  11. Optimal estimation of high-dimensional location Gaussian mixtures
    2020/02/14 by Natalie Doss, Doss, Natalie, Yihong Wu +5 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST) #Tensor decomposition and applications
  12. Sparse CCA via Precision Adjusted Iterative Thresholding
    2013/11/24 by Mengjie Chen, Chen, Mengjie, Chao Gao +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)