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Bayesian Optimization

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Showing 651–700 of 1900 papers

TitleStatusHype
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems—0
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization—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
Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems—0
Demonstration of an AI-driven workflow for dynamic x-ray spectroscopy—0
A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions—0
Bayesian Hyperparameter Optimization for Ensemble Learning—0
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization—0
Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective—0
Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process—0
Designing Adaptive Neural Networks for Energy-Constrained Image Classification—0
Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations:—0
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization—0
Designing MacPherson Suspension Architectures using Bayesian Optimization—0
Designing over uncertain outcomes with stochastic sampling Bayesian optimization—0
Designing thermal radiation metamaterials via hybrid adversarial autoencoder and Bayesian optimization—0
Design of Experiments for Verifying Biomolecular Networks—0
Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach—0
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?—0
Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems—0
Continuous-fidelity Bayesian Optimization with Knowledge Gradient—0
Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study—0
Device-Free Localization Using Multi-Link MIMO Channels in Distributed Antenna Networks—0
Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity—0
Continuous black-box optimization with quantum annealing and random subspace coding—0
Contextual Bayesian optimization with binary outputs—0
Differentiable Graph Optimization for Neural Architecture Search—0
Differentiable Hyper-parameter Optimization—0
An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble—0
Differentially Private Bayesian Optimization—0
Differentially Private Federated Bayesian Optimization with Distributed Exploration—0
Differentiating Policies for Non-Myopic Bayesian Optimization—0
Efficient computation of the Knowledge Gradient for Bayesian Optimization—0
Differentiating the multipoint Expected Improvement for optimal batch design—0
Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models—0
Constraint-Aware Deep Neural Network Compression—0
Directed particle swarm optimization with Gaussian-process-based function forecasting—0
Bayesian optimization for modular black-box systems with switching costs—0
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes—0
Data-efficient Domain Randomization with Bayesian Optimization—0
Discretization-free Knowledge Gradient Methods for Bayesian Optimization—0
DISPATCH: Design Space Exploration of Cyber-Physical Systems—0
Distributed Batch Gaussian Process Optimization—0
Constrained Two-step Look-Ahead Bayesian Optimization—0
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems—0
Distributional encoding for Gaussian process regression with qualitative inputs—0
Approximation-Aware Bayesian Optimization—0
Distributionally Robust Bayesian Optimization—0
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding—0
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