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 776–800 of 813 papers

Title	Date	Tasks	Status	Hype
Google Vizier: A Service for Black-Box Optimization	Jan 1, 2017	AutoMLBIG-bench Machine Learning	CodeCode Available	0
Bayesian Optimization with Robust Bayesian Neural Networks	Dec 1, 2016	Bayesian OptimizationDeep Reinforcement Learning	CodeCode Available	0
Scalable Hyperparameter Optimization with Products of Gaussian Process Experts	Sep 4, 2016	Gaussian ProcessesHyperparameter Optimization	CodeCode Available	0
When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models	Aug 1, 2016	Hyperparameter OptimizationWord Embeddings	—Unverified	0
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training	Jul 31, 2016	Hyperparameter OptimizationTransfer Learning	—Unverified	0
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates	Jul 28, 2016	Bayesian OptimizationGaussian Processes	CodeCode Available	0
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets	May 23, 2016	Bayesian OptimizationBIG-bench Machine Learning	CodeCode Available	0
Bayesian Hyperparameter Optimization for Ensemble Learning	May 20, 2016	Bayesian OptimizationEnsemble Learning	—Unverified	0
Evaluation System for a Bayesian Optimization Service	May 19, 2016	Bayesian OptimizationBIG-bench Machine Learning	—Unverified	0
CMA-ES for Hyperparameter Optimization of Deep Neural Networks	Apr 25, 2016	Bayesian OptimizationHyperparameter Optimization	—Unverified	0
A Stratified Analysis of Bayesian Optimization Methods	Mar 31, 2016	Bayesian OptimizationHyperparameter Optimization	—Unverified	0
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization	Mar 21, 2016	Bayesian OptimizationHyperparameter Optimization	CodeCode Available	1
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science	Mar 20, 2016	Automated Feature EngineeringAutoML	CodeCode Available	0
Hyperparameter optimization with approximate gradient	Feb 7, 2016	Hyperparameter Optimizationregression	CodeCode Available	0
Automating biomedical data science through tree-based pipeline optimization	Jan 28, 2016	BIG-bench Machine LearningGeneral Classification	CodeCode Available	0
Efficient and Robust Automated Machine Learning	Dec 1, 2015	AutoMLBayesian Optimization	CodeCode Available	3
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters	Nov 20, 2015	Hyperparameter Optimization	CodeCode Available	0
RBFOpt: an open-source library for black-box optimization with costly function evaluations	Nov 5, 2015	Hyperparameter OptimizationModel Selection	CodeCode Available	1
No Regret Bound for Extreme Bandits	Aug 12, 2015	Hyperparameter Optimization	—Unverified	0
Learning Structural Kernels for Natural Language Processing	Aug 10, 2015	Gaussian ProcessesHyperparameter Optimization	—Unverified	0
apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters	Mar 10, 2015	BIG-bench Machine LearningHyperparameter Optimization	CodeCode Available	0
Non-stochastic Best Arm Identification and Hyperparameter Optimization	Feb 27, 2015	Hyperparameter Optimization	CodeCode Available	0
Scalable Bayesian Optimization Using Deep Neural Networks	Feb 19, 2015	Bayesian OptimizationCaption Generation	CodeCode Available	0
Gradient-based Hyperparameter Optimization through Reversible Learning	Feb 11, 2015	Hyperparameter Optimization	CodeCode Available	0
Supplementary Material for Efficient and Robust Automated Machine Learning	Jan 1, 2015	BIG-bench Machine LearningHyperparameter Optimization	CodeCode Available	3

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