Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Input Warping for Bayesian Optimization of Non-stationary Functions
Practical Bayesian Optimization of Machine Learning Algorithms
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Bayesian Multi-Scale Optimistic Optimization
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Forward and Reverse Gradient-Based Hyperparameter Optimization
Warped Gaussian Processes
Efficient Global Optimization of Expensive Black-Box Functions
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
Bayesian Optimization in AlphaGo
The Power of Optimization from Samples
fast bayesian hyperparameter optimization on large datasets ∗ .
Stochastic Variance Reduction for Nonconvex Optimization
Fast stochastic optimization on Riemannian manifolds
A Modified Vortex Search Algorithm for Numerical Function Optimization
Variational Bayesian Inference with Stochastic Search
Time-Varying Gaussian Process Bandit Optimization
A New Diploid Scheme and Dominance Change Mechanism for Non-Stationary Function Optimization
Learning to Learn for Global Optimization of Black Box Functions
Gradient-Based Optimization of Hyperparameters
Multi-objective Bayesian optimization algorithm for real-time task scheduling on heterogeneous multiprocessors
Learning for larger datasets with the Gaussian process latent variable model
Prostatic arterial supply: demonstration by multirow detector Angio CT and Catheter Angiography
Investigating effects of magnetizing inductance on coupled-inductor voltage regulators
Visual Analysis of Dynamic Networks Using Change Centrality
Botnets: Zeus Botnet Detection and Its Removal