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Bayesian Optimization

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Showing 1076–1100 of 1900 papers

TitleStatusHype
Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition—0
Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization—0
Shape optimization in laminar flow with a label-guided variational autoencoder—0
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models—0
Simple and Scalable Parallelized Bayesian Optimization—0
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling—0
Sim-to-Real Transfer for Biped Locomotion—0
Twin-in-the-loop state estimation for vehicle dynamics control: theory and experiments—0
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation—0
Solar Photovoltaic Systems Metadata Inference and Differentially Private Publication—0
Solving Fashion Recommendation -- The Farfetch Challenge—0
Sonic: A Sampling-based Online Controller for Streaming Applications—0
Sparse representation for damage identification of structural systems—0
Sparse Spectrum Gaussian Process for Bayesian Optimization—0
Spectral Mixture Kernels for Bayesian Optimization—0
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization—0
Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning—0
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation—0
srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications—0
Stability-informed Bayesian Optimization for MPC Cost Function Learning—0
Stagewise Safe Bayesian Optimization with Gaussian Processes—0
STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles—0
Stealthy and Robust Backdoor Attack against 3D Point Clouds through Additional Point Features—0
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning—0
Stochastic geometry to generalize the Mondrian Process—0
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