# Modified Adaptive Tree-Structured Parzen Estimator for Hyperparameter Optimization

arXiv: https://arxiv.org/abs/2502.00871 · HTML: https://mlsanity.com/paper/2502.00871/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 2 Feb 2025.

## Abstract (arXiv)

In this paper, we review hyperparameter optimization methods for machine learning models, with a particular focus on the Adaptive Tree-Structured Parzen Estimator (ATPE) algorithm. We propose several modifications to ATPE and assess their efficacy on a diverse set of standard benchmark functions. Experimental results demonstrate that the proposed modifications significantly improve the effectiveness of ATPE hyperparameter optimization on selected benchmarks, a finding that holds practical relevance for their application in real-world machine learning / optimization tasks.