# Success Stories from a Democratized Experimentation Platform

arXiv: https://arxiv.org/abs/2012.10403 · HTML: https://mlsanity.com/paper/2012.10403/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Dec 2020.

## Built on by (most cited first, 1 of 1)

- [You Only Compress Once: Optimal Data Compression for Estimating Linear Models](https://mlsanity.com/paper/2102.11297/) (2021)

## Abstract (arXiv)

We demonstrate the effectiveness of democratization and efficient computation as key concepts of our experimentation platform (XP) by presenting four new models supported by the platform: 1) Weighted least squares, 2) Quantile bootstrapping, 3) Bayesian shrinkage, and 4) Dynamic treatment effects. Each model is motivated by a specific business problem but is generalizable and extensible. The modular structure of our platform allows independent innovation on statistical and computational methods. In practice, a technical symbiosis is created where increasingly advanced user contributions inspire innovations to the software that in turn enable further methodological improvements. This cycle adds further value to how the XP contributes to business solutions.