Ming Yuan

1. A direct approach to sparse discriminant analysis in ultra-high dimensions
   2012/01/05 by Qun Mai, Q. Mai, H. Zou +3 · 16 citations
   Engineering · Biochemistry, Genetics and Molecular Biology · Mathematics · #Sparse and Compressive Sensing Techniques #Gene expression and cancer classification #Statistical Methods and Inference
2. The Nonparanormal SKEPTIC
   2012/06/27 by Han Liu, Liu, Han, Fang Han +7 · 3 citations
   Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
3. Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion
   2016/06/10 by Ming Yuan, Cun‐Hui Zhang, Yuan, Ming +1 · 3 citations
   Engineering · Mathematics · #Elasticity and Material Modeling #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #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. Minimax Optimal Rates of Estimation in High Dimensional Additive Models: Universal Phase Transition
   2015/03/10 by Ming Yuan, Ding‐Xuan Zhou, Yuan, Ming +1 · 2 citations
   Mathematics · #Statistical Methods and Inference #Markov Chains and Monte Carlo Methods #Mathematical Approximation and Integration
6. A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
   2020/08/06 by Yuetian Luo, Garvesh Raskutti, Luo, Yuetian +5 · 2 citations
   Mathematics · Computer Science · Engineering · #Tensor decomposition and applications #Matrix Theory and Algorithms #Advanced Adaptive Filtering Techniques
7. On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives
   2019/09/07 by Tong Li, Li, Tong, Ming Yuan +1 · 3 citations
   Mathematics · Computer Science · #Statistical Methods and Inference #Gaussian Processes and Bayesian Inference #Advanced Statistical Methods and Models
8. Effective Tensor Sketching via Sparsification
   2017/10/31 by Dong Xia, Xia, Dong, Ming Yuan +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
9. ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
   2019/11/09 by Anru R. Zhang, Yuetian Luo, Zhang, Anru +5 · 1 citation
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications
10. Manual De Evaluación De La Calidad Del Servicio De Enfermería. Estrategias Para Su Aplicación 3ª Ed.
    2014/01/01 by Yang‐Er Chen, Wen‐Juan Liu, Wenjuan Liu +10 · 1 citation
    Health Professions · #Health and Medical Education
11. XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis
    2024/06/26 by Hao Li, Li, Hao, Chenming Wu +17 · 2 citations
    Engineering · #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Vehicle Dynamics and Control Systems #Vehicle emissions and performance
12. On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors
    2021/07/20 by Arnab Auddy, Auddy, Arnab, Ming Yuan +1 · 2 citations
    Computer Science · Mathematics · #15A18 #15A69 #62-08 #62F35 #62H25 #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Random Matrices and Applications #Statistics Theory (math.ST) #Tensor decomposition and applications
13. Why Naive 1/N Diversification Is Not So Naive, and How to Beat It?
    2023/10/16 by Ming Yuan, Guofu Zhou · 1 citation
    Economics, Econometrics and Finance · Business, Management and Accounting · #Complex Systems and Time Series Analysis #Economic and Technological Innovation #Private Equity and Venture Capital
14. On the Multiway Principal Component Analysis
    2023/02/14 by Jialin Ouyang, Ming Yuan, Ouyang, Jialin +1 · 1 citation
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Methodology (stat.ME) #Sensory Analysis and Statistical Methods #Statistics Theory (math.ST)
15. Large Dimensional Independent Component Analysis: Statistical Optimality and Computational Tractability
    2023/03/31 by Arnab Auddy, Ming Yuan, Auddy, Arnab +1 · 2 citations
    Computer Science · Engineering · #62H12 #62H25 #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
16. Efficient benchmarking of logical magic state
    2025/05/14 by Su-un Lee, Lee, Su-un, Ming Yuan +7 · 1 voice · 2 citations
    Physics and Astronomy · #FOS: Physical sciences #Quantum Physics (quant-ph) #quant-ph
17. Efficient quantum tomography of a polynomial subspace
    2025/03/01 by Yat Wong, Ming Yuan, Wong, Yat +11 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum Physics (quant-ph)