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Chunxy' Website
Chunxy' Website
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    • Articles
      header1.pngInformation Theory
      • Entropy
      • Conditional Entropy
      • Cross Entropy
      • Mutual Information
      • KL-divergence
      • f-divergence
      • Jenson-Shannon Divergence
      • Overview
      header1.pngMachine Learning
      • Bullet Points
      • Linear Discriminant Analysis
      • Logistic Regression
      • Support Vector Machine
      • Linear Regression
      • Non-linear Regression
      • Clustering
      • Dimension Reduction
      • Principal Component Analysis
      • Eckart-Young-Mirsky Theorem
      • Independent Component Analysis
      • RANSAC
      • Fisher's Linear Discriminant
      • Bias-variance Decomposition
      • Receiver Operator Characteristic
      • 贝叶斯分类器
      • 隐马尔可夫模型
      • Mean Average Precision
      header1.pngMathematics
        header2.pngCalculus
        • Jacobian Matrix
        • Spherical Coordinates
        • Lipschitz Continuity
        header2.pngLinear Algebra
        • Determinant
        • Eigenvectors and Eigenvalues
        • Singular Value Decomposition
        • Real Symmetric Matrix
        • Difference Equation
        • Matrix Identity
        • Quadratic Form
          • header3.pngMetrics
          • Spectral Normalization
          • Frobenius Normalization
          • Chebyshev Distance
        header2.pngNumerical Analysis
        • Fourier Transform
        • Stirling's Approximation
        header2.pngProbability and Statistics
        • Law of Total Variance
        • Gaussian Distribution
        • Unconscious Statistics
        • Whitening
        • 随机变量的收敛
        • 特征函数
        header2.pngFunctional Analysis
        • Fourier Transform
        • Stirling's Approximation
      header2.pngOptimization
      • Lagrange Multiplier
      • Convex Optimization
      • Gradient Descent
      • Coordinate Descent
      • Expectation Maximization
      • Subgradient
      • Least Angle Regression
    Books
      header1.pngInformation Theory, Inference and Learning Algorithms
      • Introduction
      • Source Coding Theorem
      • Symbol Code
      header1.pngLinear Algebra and Its Applications
      • Coordinate System and Change of Basis
      • Orthogonality and Projection
      • Gram-Schmidt Orthogonalization
      • Least Squares
      header1.png概率论与数理统计
      • 总览
      • 事件与概率
      • 常见分布
      • 协方差与相关系数
      • 随机变量的函数
      • 大数定律和中心极限定理
      • 三大分布与正态总体的抽样分布
      • 统计量
      • 参数估计
      • 贝叶斯推断
      • 假设检验
    Papers
    • Noise Contrastive Estimation
    • Contrastive Predictive Coding
    • Bounding Mutual Information
    • FlatNCE
  • Contents
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Papers

Papers, as the name suggests, contains the notes I took from the academic papers I read:

  • Bounding Mutual Information
  • Contrastive Predictive Coding
  • Noise Contrastive Estimation

Last updated on Jul 10, 2022

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