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Bayesian Optimization

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Showing 1051–1100 of 1900 papers

TitleStatusHype
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization—0
Sampling Acquisition Functions for Batch Bayesian Optimization—0
Sampling Humans for Optimizing Preferences in Coloring Artwork—0
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions—0
Scaffolded Learning of In-place Trotting Gait for a Quadruped Robot with Bayesian Optimization—0
Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization—0
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers—0
Scalable Bayesian Optimization with Sparse Gaussian Process Models—0
Scalable Constrained Bayesian Optimization—0
Scalable Differentially Private Bayesian Optimization—0
Scalable Hyperparameter Transfer Learning—0
Scalable Meta-Learning with Gaussian Processes—0
Scalable Unit Harmonization in Medical Informatics Using Bi-directional Transformers and Bayesian-Optimized BM25 and Sentence Embedding Retrieval—0
Scaling Bayesian Optimization With Game Theory—0
Scaling Gaussian Processes with Derivative Information Using Variational Inference—0
Searching for ribbons with machine learning—0
Searching in the Forest for Local Bayesian Optimization—0
Selecting Critical Scenarios of DER Adoption in Distribution Grids Using Bayesian Optimization—0
Self-Correcting Bayesian Optimization through Bayesian Active Learning—0
Semi-automated transmission control for motorcycle gearshift: design, data-driven tuning and experimental validation—0
Semi-Supervised Learning with Declaratively Specified Entropy Constraints—0
Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter—0
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound—0
Sequential Decision Making on Unmatched Data using Bayesian Kernel Embeddings—0
Sequential Gallery for Interactive Visual Design Optimization—0
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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