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Bayesian Optimization

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Showing 1401–1450 of 1900 papers

TitleStatusHype
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge—0
Preferential Batch Bayesian Optimization—0
Model-based Asynchronous Hyperparameter and Neural Architecture SearchCode3
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding—0
Cost-aware Bayesian Optimization—0
Towards Automatic Bayesian Optimization: A first step involving acquisition functions—0
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture—0
Interpretable Personalization via Policy Learning with Linear Decision Boundaries—0
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time—0
Modelling Human Active Search in Optimizing Black-box Functions—0
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization—0
Testing Scenario Library Generation for Connected and Automated Vehicles: An Adaptive Framework—0
Bayesian optimization of variable-size design space problems—0
Knot Selection in Sparse Gaussian Processes with a Variational Objective FunctionCode0
Data-efficient Domain Randomization with Bayesian Optimization—0
Optimizing JPEG Quantization for Classification Networks—0
On Hyper-parameter Tuning for Stochastic Optimization Algorithms—0
Robust Policy Search for Robot Navigation—0
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics—0
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling—0
PHS: A Toolbox for Parallel Hyperparameter SearchCode0
Efficient Rollout Strategies for Bayesian OptimizationCode0
Practical Bayesian Optimization of Objectives with Conditioning Variables—0
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling—0
Nonmyopic Gaussian Process Optimization with Macro-Actions—0
Knot Selection in Sparse Gaussian Processes—0
Computational Design with Crowds—0
Distributionally Robust Bayesian Optimization—0
Scalable Constrained Bayesian Optimization—0
Online Parameter Estimation for Safety-Critical Systems with Gaussian Processes—0
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning—0
Black-Box Optimization with Local Generative SurrogatesCode1
Projective Preferential Bayesian OptimizationCode1
Noisy-Input Entropy Search for Efficient Robust Bayesian OptimizationCode1
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization—0
Uncertainty Quantification for Bayesian Optimization—0
Automatic Pruning for Quantized Neural Networks—0
Stochastic geometry to generalize the Mondrian Process—0
Re-Examining Linear Embeddings for High-Dimensional Bayesian OptimizationCode1
Bayesian Neural Architecture Search using A Training-Free Performance MetricCode1
Discovery of Self-Assembling π-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular SimulationCode0
Bayesian optimization for backpropagation in Monte-Carlo tree search—0
Tight Regret Bounds for Noisy Optimization of a Brownian Motion—0
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small DatasetCode0
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies—0
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection—0
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural NetworksCode1
Scalable Hyperparameter Optimization with Lazy Gaussian ProcessesCode0
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning—0
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization—0
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