Sufficient Representations for Categorical Variables

3 code implementations • 26 Aug 2019 • Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager

Many learning algorithms require categorical data to be transformed into real vectors before it can be used as input.

Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics

1 code implementation • 3 Jul 2019 • Jonathan Johannemann, Robert Tibshirani

Nonlinear dimensionality reduction methods are a popular tool for data scientists and researchers to visualize complex, high dimensional data.

Dimensionality Reduction Hyperparameter Optimization