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Bayesian Optimization

Papers

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Showing 501–550 of 1900 papers

TitleStatusHype
A Comparative Analysis of Nigeria's Power Sector with and without Grid-Scale Storage: Future Implications for Emission and Renewable Energy Integration—0
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting—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
Rethinking Gradient-Based Methods: Multi-Property Materials Design Beyond Differentiable TargetsCode0
Ranking over Regression for Bayesian Optimization and Molecule SelectionCode0
Gaussian Process Thompson Sampling via Rootfinding—0
Closed-Loop phase selection in EEG-TMS using Bayesian OptimizationCode0
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
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design—0
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel—0
Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcity—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
Swine Diet Design using Multi-objective Regionalized Bayesian OptimizationCode0
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions—0
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control—0
Automated design of nonreciprocal thermal emitters via Bayesian optimization—0
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian ApproachCode0
Applying Multi-Fidelity Bayesian Optimization in Chemistry: Open Challenges and Major ConsiderationsCode0
What makes a good concept anyway ?—0
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search SpacesCode0
Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization ProblemCode0
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound—0
PACSBO: Probably approximately correct safe Bayesian optimization—0
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification—0
DAMe: Personalized Federated Social Event Detection with Dual Aggregation MechanismCode0
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems—0
Safe Bayesian Optimization for Complex Control Systems via Additive Gaussian Processes—0
Bayesian optimization of atomic structures with prior probabilities from universal interatomic potentialsCode0
On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions—0
QuaCK-TSF: Quantum-Classical Kernelized Time Series ForecastingCode0
Gravix: Active Learning for Gravitational Waves Classification Algorithms—0
Beyond Inter-Item Relations: Dynamic Adaption for Enhancing LLM-Based Sequential Recommendation—0
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems—0
Differentiating Policies for Non-Myopic Bayesian Optimization—0
Dynamic Exclusion of Low-Fidelity Data in Bayesian Optimization for Autonomous Beamline Alignment—0
Artificial Neural Network and Deep Learning: Fundamentals and Theory—0
High dimensional Bayesian Optimization via Condensing-Expansion Projection—0
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization—0
Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions—0
Deep Generative Models for Subgraph PredictionCode0
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps—0
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systemsCode0
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