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Bayesian Optimization

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Showing 1051–1100 of 1900 papers

TitleStatusHype
Investigating Positive and Negative Qualities of Human-in-the-Loop Optimization for Designing Interaction Techniques—0
Twin-in-the-loop state estimation for vehicle dynamics control: theory and experiments—0
Uncertainty-Aware Search Framework for Multi-Objective Bayesian OptimizationCode0
\^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian OptimizationCode0
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting—0
INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs—0
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization—0
Compositional optimization of quantum circuits for quantum kernels of support vector machines—0
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic maskingCode0
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue—0
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge IntegrationCode0
Non-Elitist Selection Can Improve the Performance of IraceCode0
Learning Representation for Bayesian Optimization with Collision-free Regularization—0
Support-vector-machine with Bayesian optimization for lithofacies classification using elastic properties—0
Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds—0
LEOPARD: Parallel Optimal Deep Echo State Network Prediction Improves Service Coverage for UAV-Assisted Outdoor HotspotsCode0
Automated Machine Learning: A Case Study on Non-Intrusive Appliance Load Monitoring—0
Distributionally Robust Bayesian Optimization with -divergences—0
Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control—0
Practitioner Motives to Select Hyperparameter Optimization Methods—0
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian ProcessesCode0
Hyperparameter optimization of data-driven AI models on HPC systems—0
Rectified Max-Value Entropy Search for Bayesian Optimization—0
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous SystemsCode0
A Hardware-Aware System for Accelerating Deep Neural Network Optimization—0
A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty—0
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models—0
Comparative analysis of machine learning methods for active flow control—0
Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction—0
Translational Quantum Machine Intelligence for Modeling Tumor Dynamics in OncologyCode0
Universality of parametric Coupling Flows over parametric diffeomorphisms—0
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture SearchCode0
Posterior temperature optimized Bayesian models for inverse problems in medical imagingCode0
Mold into a Graph: Efficient Bayesian Optimization over Mixed-SpacesCode0
Meta-Learning Hypothesis Spaces for Sequential Decision-making—0
Bayesian Optimization for Distributionally Robust Chance-constrained Problem—0
Bayesian Optimization For Multi-Objective Mixed-Variable Problems—0
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in SimulationCode0
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames—0
Automated machine learning for secure key rate in discrete-modulated continuous-variable quantum key distribution—0
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models—0
A Comparative study of Hyper-Parameter Optimization Tools—0
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System—0
Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification—0
Rice Diseases Detection and Classification Using Attention Based Neural Network and Bayesian Optimization—0
Thinking inside the box: A tutorial on grey-box Bayesian optimization—0
High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series—0
Automatic Configuration for Optimal Communication Scheduling in DNN Training—0
An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations—0
BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters—0
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