Who Cited It

Algorithms for Hyper-Parameter Optimization

2011 · 3,188 citations · 8 from inside this corpus

James Bergstra, R. Bardenet low, Yoshua Bengio, Balázs Kégl

The source holds an abstract for this work, but its best open-access copy is under other-oa, which does not permit us to republish the text. Read it at the source below.

Algorithms for Hyper-Parameter Optimization (2011)Algorithms for Hyper-Paramete…Neural networks for pattern recognition (1994)Neural networks for pattern r…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Gaussian Processes for Machine Learning (2005)Gaussian Processes for Machin…Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (2001)Estimation of Distribution Al…Optuna (2019)OptunaPractical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Advances and Open Problems in Federated Learning (2020)Advances and Open Problems in…On hyperparameter optimization of machine learning algorithms: Theory and practice (2020)On hyperparameter optimizatio…Practical Recommendations for Gradient-Based Training of Deep Architectures (2012)Practical Recommendations for…AutoML: A survey of the state-of-the-art (2020)AutoML: A survey of the state…Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions f… (2013)Making a Science of Model Sea…Automated Machine Learning (2019)Automated Machine Learning
12 of 12 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Neural networks for pattern recognition199418,720
A Fast Learning Algorithm for Deep Belief Nets200616,540
Gaussian Processes for Machine Learning200510,470
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation20011,936

What cites it, inside the corpus

PaperYearCited
Optuna20198,126
Practical Bayesian Optimization of Machine Learning Algorithms20125,674
Advances and Open Problems in Federated Learning20205,383
On hyperparameter optimization of machine learning algorithms: Theory and practice20203,249
Practical Recommendations for Gradient-Based Training of Deep Architectures20121,960
AutoML: A survey of the state-of-the-art20201,705
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions f…20131,645
Automated Machine Learning20191,451

Links

Open access copy · OpenAlex record

Topics

Machine Learning and Data ClassificationComputer Science
Machine Learning and AlgorithmsComputer Science
Advanced Image and Video Retrieval TechniquesComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports20 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…