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Bayesian Optimization

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TitleStatusHype
A Bayesian optimization approach to find Nash equilibria—0
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation—0
Sample Efficient Optimization for Learning Controllers for Bipedal Locomotion—0
Towards semi-episodic learning for robot damage recovery—0
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems—0
Optimizing Neural Network Hyperparameters with Gaussian Processes for Dialog Act ClassificationCode0
Exact Sampling from Determinantal Point Processes—0
Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors—0
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints—0
Learning an Optimization Algorithm through Human Design Iterations—0
Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations—0
Warm Starting Bayesian Optimization—0
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF SurrogatesCode0
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction—0
Multi-Step Bayesian Optimization for One-Dimensional Feasibility Determination—0
Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization—0
The Parallel Knowledge Gradient Method for Batch Bayesian OptimizationCode0
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian—0
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large DatasetsCode0
Bayesian Hyperparameter Optimization for Ensemble Learning—0
Evaluation System for a Bayesian Optimization Service—0
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning—0
Automatic LQR Tuning Based on Gaussian Process Global Optimization—0
A Probabilistic Adaptive Search System for Exploring the Face Space—0
CMA-ES for Hyperparameter Optimization of Deep Neural Networks—0
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization—0
Bayesian Neighbourhood Component Analysis—0
Bayesian Optimization with Exponential Convergence—0
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization—0
A Stratified Analysis of Bayesian Optimization Methods—0
Online Optimization with Costly and Noisy Measurements using Random Fourier ExpansionsCode0
Hyperband: A Novel Bandit-Based Approach to Hyperparameter OptimizationCode1
Unscented Bayesian Optimization for Safe Robot Grasping—0
Multi-Information Source Optimization—0
FLASH: Fast Bayesian Optimization for Data Analytic PipelinesCode0
Parallel Bayesian Global Optimization of Expensive Functions—0
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in RoboticsCode0
Stratified Bayesian Optimization—0
Minimum Regret Search for Single- and Multi-Task OptimizationCode0
Time-Varying Gaussian Process Bandit Optimization—0
Probabilistic Programming with Gaussian Process Memoization—0
Efficient and Robust Automated Machine LearningCode3
A General Framework for Constrained Bayesian Optimization using Information-based Search—0
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization—0
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions—0
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond—0
Variational Auto-encoded Deep Gaussian Processes—0
Bayesian Optimization with Dimension Scheduling: Application to Biological Systems—0
Predictive Entropy Search for Multi-objective Bayesian Optimization—0
Active Contextual Entropy Search—0
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