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dro 0.3.3 documentation

Quick search

  • About
  • Installation Guide
  • Tutorial
    • Formulation
    • Linear Models
    • f-divergence DRO
    • Wasserstein DRO
    • MMD-DRO
    • Bayesian (Parametric) DRO
    • DRO with a mixture of distance metrics
    • NN-DRO
    • Tree-DRO
    • Personalization
  • Example
  • API

TutorialΒΆ

Overall Pipeline

  • Formulation
    • Data Module
    • Synthetic Data Generation
    • Model Module
    • Reference

Linear DRO

  • Linear Models
  • f-divergence DRO
    • Standard (Generalized)
    • Partial DRO
    • Reference
  • Wasserstein DRO
    • Standard Version
    • Robust Satisficing Version
    • Reference
  • MMD-DRO
    • hyperparameters
    • Reference
  • Bayesian (Parametric) DRO
    • Hyperparameters
    • Reference
  • DRO with a mixture of distance metrics
    • Sinkhorn-DRO
    • Holistic-DRO
    • MOT-DRO
    • Outlier-Robust Wasserstein DRO
    • Reference

NN DRO

  • NN-DRO
    • 1. \(\chi^2\)-DRO and CVaR-DRO
    • 2. Wasserstein DRO
    • 3. Holistic Robust DRO

Tree DRO

  • Tree-DRO

Personalization

  • Personalization
    • 1. Linear (Exact) DRO Methods
    • 2. NN-Based DRO Methods
    • 3. Tree-Based DRO Methods
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