Skip to content
#

implicit-regularization

Here are 2 public repositories matching this topic...

Language: All
Filter by language

A research-driven analysis of dynamic ticket pricing, modeling distributions with scaled Beta estimates derived from limited statistics (min, max, mean, median). The approach enriches Random Forest classification by incorporating shape parameters (α, β) and leveraging constant-value features for implicit regularization. Based on SeatGeek data.

  • Updated Jul 25, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the implicit-regularization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the implicit-regularization topic, visit your repo's landing page and select "manage topics."

Learn more