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Bayesian Optimization

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Showing 601–650 of 1900 papers

TitleStatusHype
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach—0
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym—0
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning—0
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces—0
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives—0
High-Dimensional Controller Tuning through Latent Representations—0
Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening—0
Optimize-via-Predict: Realizing out-of-sample optimality in data-driven optimization—0
Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information—0
Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning—0
A Fuzzy Cascaded Proportional-Derivative Controller for Under-actuated Flexible Joint Manipulators Using Bayesian Optimization—0
Autotuning Apache TVM-based Scientific Applications Using Bayesian OptimizationCode1
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables—0
Grey-box Bayesian Optimization for Sensor Placement in Assisted Living Environments—0
CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and OptimizationCode1
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization—0
Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning—0
On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization—0
Random Postprocessing for Combinatorial Bayesian Optimization—0
Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study—0
Towards General and Efficient Online Tuning for Spark—0
Polynomial-Model-Based Optimization for Blackbox Objectives—0
CktGNN: Circuit Graph Neural Network for Electronic Design AutomationCode1
Ensemble of Anchor-Free Models for Robust Bangla Document Layout Segmentation—0
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesCode1
Constrained Bayesian Optimization Using a Lagrange Multiplier Applied to Power Transistor Design—0
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration—0
Robust Bayesian Satisficing—0
Backpropagation Path Search On Adversarial Transferability—0
Approximate and Weighted Data Reconstruction Attack in Federated Learning—0
Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets—0
Generative Models for Anomaly Detection and Design-Space Dimensionality Reduction in Shape Optimization—0
HomOpt: A Homotopy-Based Hyperparameter Optimization MethodCode1
Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization—0
Dependency Structure Search Bayesian Optimization for Decision Making Models—0
Predictive Modeling through Hyper-Bayesian Optimization—0
Model-based Causal Bayesian Optimization—0
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation—0
Effective Scaling of High-Fidelity Electric Motor Models for Electric Powertrain Design Optimization—0
Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization—0
Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning—0
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionCode0
MALIBO: Meta-learning for Likelihood-free Bayesian OptimizationCode0
Optimal Scalarizations for Sublinear Hypervolume Regret—0
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed SpacesCode1
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction—0
Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal DesignCode0
Safe Risk-averse Bayesian Optimization for Controller Tuning—0
Sampling from Gaussian Process Posteriors using Stochastic Gradient DescentCode1
Multi-Fidelity Active Learning with GFlowNetsCode2
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