Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Hyperparameter Optimization of Deep Neural Networks : Combining Hyperband with Bayesian Model Selection
Practical Bayesian Optimization of Machine Learning Algorithms
bayesian deep learning .
Random search for hyper-parameter optimization
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling
Automated Hyperparameter Tuning for Effective Machine Learning
A review of automatic selection methods for machine learning algorithms and hyper-parameter values
The Effects of Hyperparameters on SGD Training of Neural Networks
Explaining Deep Learning Models - A Bayesian Non-parametric Approach
An Optimization Methodology for Neural Network Weights and Architectures
Chapter 7 Towards Automatically-Tuned Deep Neural Networks
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
massively parallel hyperparameter tuning .
Graph HyperNetworks for Neural Architecture Search
BAYESIAN LEARNING FOR NEURAL NETWORKS
A Practical Bayesian Framework for Backpropagation Networks
Bayesian Optimization Algorithm
Training Deep and Recurrent Networks with Hessian-Free Optimization
Deriving optimal weights in deep neural networks
User Perception on Mobile Augmented Reality as a marketing tool
A Brief History of Human Blood Groups
An Invoicing Case Study in Z
Balancing Utility and Security: Securing Cloud Federations of Public Entities
Greedy Layer-Wise Training of Deep Networks