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Bayesian Optimization

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Showing 1801–1825 of 1900 papers

TitleStatusHype
Limbo: A Fast and Flexible Library for Bayesian OptimizationCode0
Compensating for Large In-Plane Rotations in Natural Images—0
Bayesian optimization of hyper-parameters in reservoir computingCode0
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes—0
Learning to Learn without Gradient Descent by Gradient Descent—0
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
The Parallel Knowledge Gradient Method for Batch Bayesian OptimizationCode0
Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization—0
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
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