Hyperparameter Optimization

Hyperparameter Optimization is the problem of choosing a set of optimal hyperparameters for a learning algorithm. Whether the algorithm is suitable for the data directly depends on hyperparameters, which directly influence overfitting or underfitting. Each model requires different assumptions, weights or training speeds for different types of data under the conditions of a given loss function.

Source: Data-driven model for fracturing design optimization: focus on building digital database and production forecast

Papers

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Showing 11–20 of 813 papers

Title	Date	Tasks	Status	Hype
Supplementary Material for Efficient and Robust Automated Machine Learning	Jan 1, 2015	BIG-bench Machine LearningHyperparameter Optimization	CodeCode Available	3
Efficient and Robust Automated Machine Learning	Dec 1, 2015	AutoMLBayesian Optimization	CodeCode Available	3
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization	Jul 27, 2022	Hyperparameter OptimizationTransfer Learning	CodeCode Available	3
Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes	Aug 29, 2017	BIG-bench Machine LearningCPU	CodeCode Available	3
Predicting from Strings: Language Model Embeddings for Bayesian Optimization	Oct 14, 2024	Bayesian OptimizationExperimental Design	CodeCode Available	3
Benchmarking Automatic Machine Learning Frameworks	Aug 17, 2018	Automated Feature EngineeringAutoML	CodeCode Available	3
Out-of-sample scoring and automatic selection of causal estimators	Dec 20, 2022	Causal InferenceHyperparameter Optimization	CodeCode Available	2
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization	Feb 15, 2022	AllBayesian Optimization	CodeCode Available	2
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning	Dec 12, 2010	Bayesian OptimizationHierarchical Reinforcement Learning	CodeCode Available	2
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice	Jul 30, 2020	AutoMLBIG-bench Machine Learning	CodeCode Available	2

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