Methods › General › AutoML › HPO

Hyper-parameter optimization

HPO

154 papers tagged archive 2025-07-28

Introduced by James S. Bergstra et al. in Algorithms for Hyper-Parameter Optimization

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

In machine learning, a hyperparameter is a parameter whose value is used to control learning process, and HPO is the problem of choosing a set of optimal hyperparameters for a learning algorithm.

PaperSource

Papers archive 2025-07-28

30 shown of 154, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 121 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Hyperparameter Optimization112
Bayesian Optimization31
AutoML23
Neural Architecture Search15
BIG-bench Machine Learning13
Transfer Learning13
Benchmarking10
Reinforcement Learning (RL)8
Federated Learning5
Image Classification5
Model Selection5
image-classification5
reinforcement-learning5
Data Augmentation4
Fairness4
Language Modelling4
Reinforcement Learning4
Decision Making3
Deep Learning3
Deep Reinforcement Learning3

Usage over time archive 2025-07-28

Papers per year tagged with HPO: 2011 to 2025, peak 36 36 0 2011: 1 paper 2011 2012: 0 papers 2013: 0 papers 2013 2014: 0 papers 2015: 0 papers 2015 2016: 1 paper 2017: 0 papers 2017 2018: 0 papers 2019: 5 papers 2019 2020: 18 papers 2021: 36 papers 2021 2022: 21 papers 2023: 25 papers 2023 2024: 28 papers 2025: 19 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (154 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

AutoML

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections