---
title: Barycentric ML Optimization
url: https://www.ml-quant.com/papers/ssrn/4742189/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4742189
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4742189
featured: 2024-03-06
citations: unknown
topic: Trading, Microstructure & Execution
---


# Barycentric ML Optimization

The study suggests a method to decrease machine learning algorithms' execution time in high-dimensional spaces using the barycentric correction procedure.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4742189
- Identifier: SSRN 4742189
- Released: 2024-02-24
- First featured: Quant Letter No. 39 (2024-03-06): https://www.ml-quant.com/issues/2024-03-06/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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