Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Bayesian Optimization with Exponential Convergence
Bayesian Multi-Scale Optimistic Optimization
Gaussian Process Optimization with Mutual Information
fast bayesian hyperparameter optimization on large datasets ∗ .
Contextual Gaussian Process Bandit Optimization
Policy Optimization with Model-based Explorations
Stochastic Optimization with Bandit Sampling
Learning to Optimize Via Posterior Sampling
Efficient Global Optimization of Expensive Black-Box Functions
Adam: A Method for Stochastic Optimization
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
A Cross Entropy based Optimization Algorithm with Global Convergence Guarantees
Stochastic Optimization Using a Trust-Region Method and Random Models
Initializing bayesian hyperparameter optimization via meta-learning
Simulation studies in optimistic bayesian sampling in contextual-bandit problems
The Power of Optimization from Samples
Gradient-Based Optimization of Hyperparameters
Variational Information Maximizing Exploration
Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
stochastic optimization : a review .
A Cost-based Optimizer for Gradient Descent Optimization
matrix computations ( 3 . ed . ) .
Six-Port Based Interferometry for Precise Radar and Sensing Applications
Type 1 segmental Darier's disease: report of two cases with favourable response to topical retinoids
High-Speed and Energy-Efficient Carry Skip Adder Operating Under a Wide Range of Supply Voltage Levels
Multi-objective path finding in stochastic time-dependent road networks using non-dominated sorting genetic algorithm