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hyperparameter tuning

215 papers

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Co-occurring keywords

bayesian optimization (624) hyperparameter optimization (406) gaussian process (1200) model selection (456) neural network optimization (1293) regret bound (1926) text classification (6793) transfer learning (5449) acquisition function (129) large language model (13587)

Papers

High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order NIPS 2016
mlr: Machine Learning in R JMLR 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NIPS 2016
Unbounded Bayesian Optimization via Regularization AISTATS 2016
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016
Differentially Private Bayesian Optimization ICML 2015
Regularization Path of Cross-Validation Error Lower Bounds NIPS 2015
Bayesian Optimization with Inequality Constraints ICML 2014
Efficient Transfer Learning Method for Automatic Hyperparameter Tuning AISTATS 2014
Multi-Task Bayesian Optimization NIPS 2013
Collaborative hyperparameter tuning ICML 2013
Practical Bayesian Optimization of Machine Learning Algorithms NIPS 2012
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NIPS 2006
The Entire Regularization Path for the Support Vector Machine JMLR 2004