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Bayesian Optimization

Papers

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Showing 1001–1050 of 1900 papers

TitleStatusHype
On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning—0
Non-Myopic Multifidelity Bayesian Optimization—0
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL—0
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design—0
Parallel Bayesian Optimization of Agent-based Transportation SimulationCode0
Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation—0
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques—0
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spacesCode0
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization—0
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization ApproachCode0
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization—0
Rethinking Optimization with Differentiable Simulation from a Global Perspective—0
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search—0
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach—0
Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian OptimizationCode0
Bayesian Optimization under Stochastic Delayed FeedbackCode0
Demystifying the Adversarial Robustness of Random Transformation DefensesCode0
Designing MacPherson Suspension Architectures using Bayesian Optimization—0
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview—0
On Provably Robust Meta-Bayesian OptimizationCode0
High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing—0
Joint Entropy Search for Maximally-Informed Bayesian OptimizationCode0
Recent Advances in Bayesian Optimization—0
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimizationCode0
Transfer Learning based Search Space Design for Hyperparameter Tuning—0
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference—0
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian OptimizationCode0
Graph Machine Learning for Design of High-Octane Fuels—0
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle—0
Targeted Adaptive Design—0
Surrogate modeling for Bayesian optimization beyond a single Gaussian process—0
Transfer learning driven design optimization for inertial confinement fusion—0
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization—0
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein EvolutionCode0
Hyperparameter Optimization with Neural Network Pruning—0
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization—0
A model aggregation approach for high-dimensional large-scale optimization—0
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback—0
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problemsCode0
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization—0
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization—0
Generative Evolutionary Strategy For Black-Box Optimizations—0
An end-to-end neural network framework for SOH estimation and RUL prediction of lithium batteryCode0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
Designing thermal radiation metamaterials via hybrid adversarial autoencoder and Bayesian optimization—0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization—0
STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles—0
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