【随机矩阵1】Random Matrices: Introduction
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【高维概率论】High-Dimensional Probability
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【随机矩阵2】Random Matrices: Semicircular Law
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【随机矩阵4】Random Matrices: Genus Expansion
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【随机矩阵9】Random Matrices: Weak Convergence and Stieltjes Transform
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【随机矩阵12】Random Matrices: Gaussian Poincare Inequality
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【随机矩阵20】Random Matrices: Proof of the theorem of Harer-Zagier
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【随机矩阵14】Random Matrices: GUE Density and Hermite Kernels (I)
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【随机矩阵24】Random Matrices: Several Independent GUE and Asymptotic Freeness
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【随机矩阵19】Random Matrices: Tracy-Widom Distribution
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【随机矩阵3】Random Matrices: Wick Formula and Gaussian Random Matrix
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【随机矩阵15】Random Matrices: GUE Density and Hermite Kernels (II)
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【随机矩阵18】Random Matrices: Statistics of Largest Eigenvalue (II)
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【随机矩阵17】Random Matrices: Statistics of Largest Eigenvalue (I)
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【随机矩阵10】Random Matrices: Analytic Proof of Semicircle Law
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【随机矩阵16】Random Matrices: Determinantal Processes and Non-Crossing Paths
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【随机矩阵与机器学习9】Wishart Random Matrices and Concentration of Largest Eigenvalue
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【随机矩阵21】Random Matrices: Statistics of Longest Increasing Subsequence
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【随机矩阵11】Random Matrices: Concentration Phenomena
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【随机矩阵5】Random Matrices: Combinatorial Proof of Semicircle Law
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【随机矩阵6】Random Matrices: Semicircle Law for Wigner Matrices
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【随机矩阵13】Random Matrices: Joint Eigenvalue Distributions
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【随机矩阵与机器学习】24. Calculation of the Random Feature Eigenvalue Distribution
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【随机矩阵22】Random Matrices: Circular Law (I)
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【随机矩阵7】Random Matrices: Stieltjes Transform
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【随机矩阵与机器学习4】Gaussian Random Vectors and Concentration of Their Norm
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【随机矩阵8】Random Matrices: Convergence of Probability Measures
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【随机矩阵与机器学习5】Exponential Concentration of Norm of Gaussian Random Vectors
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【随机矩阵与机器学习1】Introduction and Survey
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【随机矩阵23】Random Matrices: Circular Law (II)
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【随机矩阵与机器学习11】The Marchenko-Pastur Law for Wishart Matrices
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【随机矩阵与机器学习20】Asymptotic Eigenvalue Distribution in the Random Feature Model
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【随机矩阵与机器学习19】General Remarks on Random Feature Model
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【随机矩阵与机器学习25】Gaussian Equivalence Principle for Nonlinear Random Features
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【随机矩阵与机器学习6】Nonlinear Concentration of Gaussian RVs for Lipschitz Functions
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【随机矩阵与机器学习3】Concentration of Volumes
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【随机矩阵与机器学习2】Volumes in High Dimensions
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【随机矩阵与机器学习7】Proof of Nonlinear Concentration for Gaussian Random Vectors
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【随机矩阵与机器学习21】Another Proof of Marchenko-Pastur: via Stein's Identity
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不会还有人不会用海伦公式求三角形面积吧
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【随机矩阵与机器学习28】Properties of the Neural Tangent Kernel