hyperparameter optimization

An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NeurIPS 2017 AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract) IJCAI 2017 Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017 Bayesian Optimization with Tree-structured Dependencies ICML 2017 CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics NSDI 2017 Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters JMLR 2017 Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017 Forward and Reverse Gradient-Based Hyperparameter Optimization ICML 2017 Hierarchical Constrained Bayesian Optimization for Feature, Acoustic Model and Decoder Parameter Optimization Interspeech 2017 High Dimensional Bayesian Optimization using Dropout IJCAI 2017 Massive Exploration of Neural Machine Translation Architectures EMNLP 2017 Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017 Neural Optimizer Search with Reinforcement Learning ICML 2017 On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017 Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017 The Statistical Recurrent Unit ICML 2017 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 Batched Gaussian Process Bandit Optimization via Determinantal Point Processes NeurIPS 2016 Bayesian Optimization with Robust Bayesian Neural Networks NeurIPS 2016 DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks IJCAI 2016 Early Stopping as Nonparametric Variational Inference AISTATS 2016 Hyperparameter optimization with approximate gradient ICML 2016 Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning ICML 2016 Non-stochastic Best Arm Identification and Hyperparameter Optimization AISTATS 2016