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 176–200 of 813 papers

Title	Date	Tasks	Status	Score
Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric	Jan 28, 2019	Hyperparameter Optimization	CodeCode Available	5
Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves via Recurrent and Sequence-to-Sequence Networks	Jun 1, 2019	feature selectionHyperparameter Optimization	CodeCode Available	5
Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning	Nov 6, 2019	ARCBIG-bench Machine Learning	CodeCode Available	5
Importance of Kernel Bandwidth in Quantum Machine Learning	Nov 9, 2021	BIG-bench Machine LearningHyperparameter Optimization	CodeCode Available	5
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models	Jun 7, 2023	Hyperparameter OptimizationVariational Inference	CodeCode Available	5
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models	Jan 2, 2025	Hyperparameter OptimizationMamba	CodeCode Available	5
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning	Jun 27, 2019	Bayesian OptimizationHyperparameter Optimization	CodeCode Available	5
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images	May 12, 2023	Hyperparameter OptimizationImage Captioning	CodeCode Available	5
Hyperparameters in Score-Based Membership Inference Attacks	Feb 10, 2025	Hyperparameter OptimizationTransfer Learning	CodeCode Available	5
Hyperparameter optimization with approximate gradient	Feb 7, 2016	Hyperparameter Optimizationregression	CodeCode Available	5
Accelerating Neural Architecture Search using Performance Prediction	May 30, 2017	Hyperparameter OptimizationLanguage Modeling	CodeCode Available	5
Hyperparameters in Contextual RL are Highly Situational	Dec 21, 2022	Hyperparameter Optimizationreinforcement-learning	CodeCode Available	5
Hyperparameter Transfer Across Developer Adjustments	Oct 25, 2020	Hyperparameter Optimization	CodeCode Available	5
Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction	May 1, 2025	Hyperparameter OptimizationKnowledge Graphs	CodeCode Available	5
Mental Task Classification Using Electroencephalogram Signal	Oct 2, 2019	ClassificationDecoder	CodeCode Available	5
Hyperparameter Optimization: A Spectral Approach	Jun 2, 2017	Bayesian Optimizationcompressed sensing	CodeCode Available	5
Hyperparameter Optimization for Multi-Objective Reinforcement Learning	Oct 25, 2023	Hyperparameter OptimizationMulti-Objective Reinforcement Learning	CodeCode Available	5
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation	Nov 6, 2024	Active LearningBayesian Optimization	CodeCode Available	5
Hyperparameters in Reinforcement Learning and How To Tune Them	Jun 2, 2023	AutoMLDeep Reinforcement Learning	CodeCode Available	5
Hyperparameter Importance Analysis for Multi-Objective AutoML	May 13, 2024	AutoMLHyperparameter Optimization	CodeCode Available	5
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting	Mar 7, 2024	Hyperparameter OptimizationProbabilistic Time Series Forecasting	CodeCode Available	5
A Tutorial on Bayesian Optimization	Jul 8, 2018	Bayesian OptimizationHyperparameter Optimization	CodeCode Available	5
Hyperparameter Optimization as a Service on INFN Cloud	Jan 13, 2023	Hyperparameter OptimizationMeta-Learning	CodeCode Available	5
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn	Jan 1, 2014	AutoMLBenchmarking	CodeCode Available	5
ATM: A distributed, collaborative, scalable system for automated machine learning	Dec 11, 2017	AutoMLBIG-bench Machine Learning	CodeCode Available	5

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