Storchastic
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Contents:

  • Installation
  • Introduction to Storchastic
    • What is Storchastic?
    • Sampling, Inference and Variance Reduction
    • Discrete Gradient Estimation
  • License
  • FAQ
  • Need help?
  • Examples

API documentation:

  • Storch Tensors
  • Plates
  • Gradient Estimation Methods
  • Sampling Methods
  • Storch package
Storchastic
  • Docs »
  • Introduction to Storchastic
  • Edit on GitHub

Introduction to StorchasticΒΆ

The following pages introduce the essential concepts and API calls to get started with Storchastic.

Introduction to Storchastic:

  • What is Storchastic?
    • Stochastic computation graphs
    • Gradient estimation
      • The pathwise derivative
      • The score function
    • Applications
      • Reinforcement Learning
      • Variational Inference
      • Discrete Random Variables
      • Footnotes
      • References
  • Sampling, Inference and Variance Reduction
    • Converting generative stories
    • Gradient estimation
    • Computing gradient statistics
    • Reducing variance
    • Using different estimators
  • Discrete Gradient Estimation
    • Discrete Variational Auto-Encoder
    • Experimenting with the Discrete VAE
      • Footnotes
      • References
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