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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 51–100 of 813 papers

TitleStatusHype
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter OptimizationCode1
Deep Pipeline Embeddings for AutoMLCode1
Exploring the Loss Landscape in Neural Architecture SearchCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for LassoCode1
Adapters Strike BackCode1
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular DataCode1
Supervising the Multi-Fidelity Race of Hyperparameter ConfigurationsCode1
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter OptimizationCode1
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRICode1
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
Efficient Hyperparameter Optimization for Differentially Private Deep LearningCode1
Implicit differentiation of Lasso-type models for hyperparameter optimizationCode1
Hyperparameter Optimization via Sequential Uniform DesignsCode1
Improving Fast Minimum-Norm Attacks with Hyperparameter OptimizationCode1
Hyperparameter Importance Across DatasetsCode1
HyperNOs: Automated and Parallel Library for Neural Operators ResearchCode1
Hyperparameter optimization in deep multi-target predictionCode1
Improving Hyperparameter Optimization with Checkpointed Model WeightsCode1
A System for Massively Parallel Hyperparameter TuningCode1
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm AttacksCode1
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture SearchCode1
AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein EngineeringCode1
High-Dimensional Bayesian Optimization via Additive Models with Overlapping GroupsCode1
HomOpt: A Homotopy-Based Hyperparameter Optimization MethodCode1
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision TasksCode1
Random Error Sampling-based Recurrent Neural Network Architecture OptimizationCode1
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter OptimizationCode1
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement LearningCode1
Hyperband: A Novel Bandit-Based Approach to Hyperparameter OptimizationCode1
GPT Takes the Bar ExamCode1
BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scaleCode1
A Critical Assessment of State-of-the-Art in Entity AlignmentCode1
Bilevel Fast Scene Adaptation for Low-Light Image EnhancementCode1
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-startCode1
Implicit differentiation for fast hyperparameter selection in non-smooth convex learningCode1
A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias AssessmentsCode1
BOHB: Robust and Efficient Hyperparameter Optimization at ScaleCode1
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
Kronecker Decomposition for Knowledge Graph EmbeddingsCode1
A Three-regime Model of Network PruningCode1
AutoML: A Survey of the State-of-the-ArtCode1
Generative Adversarial Neural OperatorsCode1
Heuristic Hyperparameter Optimization for Convolutional Neural Networks using Genetic AlgorithmCode1
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenMLCode1
Automated Machine Learning in InsuranceCode1
Flexible Differentiable Optimization via Model TransformationsCode1
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality MeasurementsCode1
Multi-Objective Population Based TrainingCode1
Fast Optimizer BenchmarkCode1
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