Benchmark and Survey of Automated Machine Learning Frameworks
From MaRDI portal
Publication:5856462
DOI10.1613/jair.1.11854OpenAlexW3123920941MaRDI QIDQ5856462
Marc-André Zöller, Marco F. Huber
Publication date: 26 March 2021
Published in: Journal of Artificial Intelligence Research (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1904.12054
Related Items
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning ⋮ On the effect of solution representation and neighborhood definition in AutoML fitness landscapes
Uses Software
- Paramils
- Silhouettes
- Scikit
- rapidminer
- OpenML
- Spearmint
- TPOT
- Hyperopt
- ImageNet
- Auto-WEKA
- GitHub
- H2O
- SMAC
- Featuretools
- KITTI
- AlphaZero
- auto-sklearn
- RoBO
- BOHB
- OpenML-CC18
- Advisor
- KATARA
- ExploreKit
- BigDansing
- Cognito
- HoloClean
- HyperparameterHunter
- Distil
- AlphaClean
- ActiveClean
- SampleClean
- Autotune
- AlexNet
- Boids
- Tunability
- Hyperband
- AlphaD3M
Cites Work
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- Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
- Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
- Feature generation using general constructor functions
- ML-plan: automated machine learning via hierarchical planning
- Fast Bayesian hyperparameter optimization on large datasets
- Efficient benchmarking of algorithm configurators via model-based surrogates
- Scalable Gaussian process-based transfer surrogates for hyperparameter optimization
- Practical mathematical optimization. An introduction to basic optimization theory and classical and new gradient-based algorithms.
- Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
- ParamILS: An Automatic Algorithm Configuration Framework
- Minimization by Random Search Techniques
- The estimation of the gradient of a density function, with applications in pattern recognition
- Stability Selection
- 10.1162/153244303322753616
- 10.1162/153244303322753706
- From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
- Mixed-integer nonlinear optimization
- Evolutionary Algorithms for Solving Multi-Objective Problems
- On Estimation of a Probability Density Function and Mode
- Some aspects of the sequential design of experiments
- Random forests
- Choosing multiple parameters for support vector machines
- Gene selection for cancer classification using support vector machines
