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hyperparameter optimization

405 papers

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Also known as

CASH OPTUNA BO HO HPO

Co-occurring keywords

bayesian optimization (623) neural architecture search (665) gaussian process (1198) automated machine learning (94) model selection (454) surrogate model (181) hyperparameter tuning (213) transfer learning (5442) bilevel optimization (193) neural network optimization (1293)

Papers

Hyperparameter optimization with approximate gradient ICML 2016
A Brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning Without Human Intervention AUTOML 2016
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry AUTOML 2016
Towards Automatically-Tuned Neural Networks AUTOML 2016
Early Stopping as Nonparametric Variational Inference AISTATS 2016
pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015
Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains ICML 2015
Efficient and Robust Automated Machine Learning NIPS 2015
Gradient-based Hyperparameter Optimization through Reversible Learning ICML 2015
Scalable Bayesian Optimization Using Deep Neural Networks ICML 2015
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images CVPR 2014
Automated Variational Inference for Gaussian Process Models NIPS 2014
Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014
Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014
Efficient Optimization for Sparse Gaussian Process Regression NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures ICML 2013
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Robust Gaussian Process Regression with a Student- Likelihood JMLR 2011
Algorithms for Hyper-Parameter Optimization NIPS 2011
Gaussian Process Training with Input Noise NIPS 2011
Descent Methods for Tuning Parameter Refinement AISTATS 2010
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design JMLR 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Rethinking LDA: Why Priors Matter NIPS 2009