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• Books

  • What If
    What-if Chapter 1What-if Chapter 10What-if Chapter 11What-if Chapter 12What-if Chapter 13What-if Chapter 14What-if Chapter 15What-if Chapter 16What-if Chapter 17What-if Chapter 18What-if Chapter 19What-if Chapter 2What-if Chapter 20What-if Chapter 21What-if Chapter 22What-if Chapter 23What-if Chapter 3What-if Chapter 4What-if Chapter 5What-if Chapter 6What-if Chapter 7What-if Chapter 8What-if Chapter 9

• Causal Inference

  • BART - Bayesian Additive Regression Trees
  • Bayesian causal inference, a critical review
  • What If Book Reading Notes
    Chapter 1Chapter 12Chapter 13Chapter 14Chapter 15Chapter 16Chapter 17Chapter 2Chapter 3Response Md因果推断方法因果推断目前概念混杂因子
  • 因果推断(Causal Inference)与机器学习(Machine Learning)

• Inspirational

  • Things That Aren't Doing the Thing

• Machine Learning

  • Bayesian
    All bayesian inference methodsBayes by backprop - naive variational inferenceDifference between MCMC and VI(SVI)Laplace ApproximationMarkov Chain Monte Carlo(MCMC)Prior Uncertainty - A Key Hurdle in Advancing Bayesian Machine Learningreparameter trickStochastic Variational InferenceWhat is uncertainty in neural networksWhy we are assuming all weight distributions are Gaussian
  • CV
    DETRJEPAViT
  • Diffusers
    How does diffusion model workWhat does the U-net do in diffusion models?
  • EBM
    How to build EBMs
  • Mathematics
    KL and JS divergenceKL Divergence in Variational Inference.Norm 范数Regularization for Deep LearningSVD
  • Papers Read
    Bayesian LSTMGlobal sparse momentum SGDHow to write literature review
  • Reinforcement Learning
    Actor CriticRL的主要结构种类
  • Resources
  • Trick Layers
    AttentionTransformersTricks