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Bayesian Optimization

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Showing 1001–1050 of 1900 papers

TitleStatusHype
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
Stochastic Gradient Line Bayesian Optimization for Efficient Noise-Robust Optimization of Parameterized Quantum Circuits—0
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization—0
Stratified Bayesian Optimization—0
Structured Variationally Auto-encoded Optimization—0
Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels—0
Student-t Processes as Alternatives to Gaussian Processes—0
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization—0
Supervised Contrastive Learning with Tree-Structured Parzen Estimator Bayesian Optimization for Imbalanced Tabular Data—0
Supply Risk-Aware Alloy Discovery and Design—0
Support-vector-machine with Bayesian optimization for lithofacies classification using elastic properties—0
Surrogate-guided optimization in quantum networks—0
Surrogate modeling for Bayesian optimization beyond a single Gaussian process—0
Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing—0
Systematic Evaluation of Initial States and Exploration-Exploitation Strategies in PID Auto-Tuning: A Framework-Driven Approach Applied on Mobile Robots—0
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization—0
T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search—0
Targeted Adaptive Design—0
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters—0
Techniques for Automated Machine Learning—0
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning—0
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks—0
Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data—0
Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification—0
Test Automation for Interactive Scenarios via Promptable Traffic Simulation—0
Testing Scenario Library Generation for Connected and Automated Vehicles: An Adaptive Framework—0
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting—0
Tetra-AML: Automatic Machine Learning via Tensor Networks—0
The DNA of Calabi-Yau Hypersurfaces—0
The Kalai-Smorodinski solution for many-objective Bayesian optimization—0
The Power of the Pareto Front: Balancing Uncertain Rewards for Adaptive Experimentation in scanning probe microscopy—0
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs—0
Thinking inside the box: A tutorial on grey-box Bayesian optimization—0
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints—0
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