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Bayesian Optimization

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Showing 251–300 of 1900 papers

TitleStatusHype
Respecting the limit:Bayesian optimization with a bound on the optimal value—0
Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators—0
Constrained composite Bayesian optimization for rational synthesis of polymeric particles—0
Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-AwarenessCode0
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints EstimationCode0
Graph Agnostic Causal Bayesian Optimisation—0
Towards safe Bayesian optimization with Wiener kernel regressionCode0
Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design—0
Transfer Learning for Finetuning Large Language Models—0
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference CalibrationCode1
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization—0
Reverse Attitude Statistics Based Star Map Identification Method—0
Robust Gaussian Processes via Relevance Pursuit—0
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization—0
HiBO: Hierarchical Bayesian Optimization via Adaptive Search Space Partitioning—0
Optimizing Posterior Samples for Bayesian Optimization via RootfindingCode1
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
Sequential Large Language Model-Based Hyper-parameter OptimizationCode0
Bayesian optimization for robust robotic grasping using a sensorized compliant hand—0
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation—0
Distributed Thompson sampling under constrained communicationCode0
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits—0
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations—0
Foundations of Adaptive High-Level Tight Control of Prostate Cancer: A Path from From Terminal Disease to Chronic Condition—0
Transferable Multi-Fidelity Bayesian Optimization for Radio Resource Management—0
Amortized Probabilistic Conditioning for Optimization, Simulation and InferenceCode1
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting—0
A Comparative Analysis of Nigeria's Power Sector with and without Grid-Scale Storage: Future Implications for Emission and Renewable Energy Integration—0
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs—0
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification—0
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to OptimalCode0
Predicting from Strings: Language Model Embeddings for Bayesian OptimizationCode3
Ranking over Regression for Bayesian Optimization and Molecule SelectionCode0
Rethinking Gradient-Based Methods: Multi-Property Materials Design Beyond Differentiable TargetsCode0
Batched Energy-Entropy acquisition for Bayesian OptimizationCode1
Gaussian Process Thompson Sampling via Rootfinding—0
Closed-Loop phase selection in EEG-TMS using Bayesian OptimizationCode0
Batched Bayesian optimization by maximizing the probability of including the optimumCode1
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging—0
Mechanistic Behavior Editing of Language ModelsCode0
Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms—0
Measurements with Noise: Bayesian Optimization for Co-optimizing Noise and Property Discovery in Automated ExperimentsCode0
Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators—0
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular ResearchCode1
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design—0
Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcity—0
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel—0
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites—0
Supply Risk-Aware Alloy Discovery and Design—0
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction—0
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