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Bayesian Optimization

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Showing 1601–1650 of 1900 papers

TitleStatusHype
Conditional Neural Processes for Molecules—0
Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints—0
Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization—0
Constrained Bayesian Optimization Using a Lagrange Multiplier Applied to Power Transistor Design—0
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints—0
Constrained Bayesian Optimization with Max-Value Entropy Search—0
Constrained Bayesian Optimization with Noisy Experiments—0
Constrained composite Bayesian optimization for rational synthesis of polymeric particles—0
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding—0
Constrained Two-step Look-Ahead Bayesian Optimization—0
Constraint-Aware Deep Neural Network Compression—0
Contextual Bayesian optimization with binary outputs—0
Continuous black-box optimization with quantum annealing and random subspace coding—0
Continuous-fidelity Bayesian Optimization with Knowledge Gradient—0
Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems—0
Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems—0
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization—0
Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization—0
Convolutional neural network for Lyman break galaxies classification and redshift regression in DESI (Dark Energy Spectroscopic Instrument)—0
Cooperative Bayesian Optimization for Imperfect Agents—0
CorrAttack: Black-box Adversarial Attack with Structured Search—0
Cost-aware Bayesian Optimization—0
Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality—0
Cost-Efficient Online Hyperparameter Optimization—0
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation—0
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization—0
CropCraft: Inverse Procedural Modeling for 3D Reconstruction of Crop Plants—0
Cross-Layer Optimization for Fault-Tolerant Deep Learning—0
CURE: Simulation-Augmented Auto-Tuning in Robotics—0
Data Augmentation Policy Search for Long-Term Forecasting—0
Data-Centric Mixed-Variable Bayesian Optimization For Materials Design—0
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach—0
Data-Driven Moving Horizon Estimation Using Bayesian Optimization—0
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements—0
Data-Efficient Automatic Shaping of Liquid Droplets on an Air-Ferrofluid Interface with Bayesian Optimization—0
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study—0
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue—0
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models—0
DEBOSH: Deep Bayesian Shape Optimization—0
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs—0
Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning—0
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting—0
Deep Evolutionary Learning for Molecular Design—0
DeepEyeNet: Adaptive Genetic Bayesian Algorithm Based Hybrid ConvNeXtTiny Framework For Multi-Feature Glaucoma Eye Diagnosis—0
Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization—0
Deep Kernels for Optimizing Locomotion Controllers—0
Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality—0
Deep Neural Network based Wide-Area Event Classification in Power Systems—0
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes—0
Deep Siamese Networks with Bayesian non-Parametrics for Video Object Tracking—0
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