Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters
Random search for hyper-parameter optimization
Bayesian optimization with robust Bayesian neural networks
Hyperparameter Optimization of Deep Neural Networks : Combining Hyperband with Bayesian Model Selection
Initializing bayesian hyperparameter optimization via meta-learning
Hyperparameter Optimization: A Spectral Approach
Scalable Bayesian Optimization Using Deep Neural Networks
Scalable Meta-Learning for Bayesian Optimization
Hyperparameters: optimize, or integrate out?
Efficient Transfer Learning Method for Automatic Hyperparameter Tuning
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Supplementary material for the paper : Bayesian Optimization with Robust Bayesian Neural Networks
Practical Bayesian optimization in the presence of outliers
Comparison of Approximate Methods for Handling Hyperparameters
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits
An effective algorithm for hyperparameter optimization of neural networks
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
Bayesian Optimization with Exponential Convergence
Automated Hyperparameter Tuning for Effective Machine Learning
Bayesian Optimization in High Dimensions via Random Embeddings
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
Mesenchymal stem cells in health and disease
Survey of Model-Based Reinforcement Learning: Applications on Robotics
EEG based biometric authentication using new spectral features
Entropie causality anc greedy minimum entropy coupling