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hyperparameter optimization

405 papers

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HO

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

CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics NSDI 2017
Bayesian Optimization with Tree-structured Dependencies ICML 2017
The Statistical Recurrent Unit ICML 2017
Neural Optimizer Search with Reinforcement Learning ICML 2017
AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract) IJCAI 2017
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017
Massive Exploration of Neural Machine Translation Architectures EMNLP 2017
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NIPS 2017
Hierarchical Constrained Bayesian Optimization for Feature, Acoustic Model and Decoder Parameter Optimization INTERSPEECH 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization ICML 2017
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017
Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters JMLR 2017
High Dimensional Bayesian Optimization using Dropout IJCAI 2017
Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques NIPS 2016
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes NIPS 2016
Bayesian Optimization with Robust Bayesian Neural Networks NIPS 2016
Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning ICML 2016
Pareto Frontier Learning with Expensive Correlated Objectives ICML 2016
No Regret Bound for Extreme Bandits AISTATS 2016
Non-stochastic Best Arm Identification and Hyperparameter Optimization AISTATS 2016
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks IJCAI 2016
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters ICML 2016