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Bayesian Optimization

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Showing 451–500 of 1900 papers

TitleStatusHype
Epidemiologically and Socio-economically Optimal Policies via Bayesian OptimizationCode0
Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast ImplementationCode0
A Simple Approach to Automated Spectral ClusteringCode0
Model Fusion through Bayesian Optimization in Language Model Fine-TuningCode0
ELFI: Engine for Likelihood-Free InferenceCode0
Bayesian Optimization for Categorical and Category-Specific Continuous InputsCode0
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic maskingCode0
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble LearningCode0
Accounting for Gaussian Process Imprecision in Bayesian OptimizationCode0
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimizationCode0
Event-Triggered Safe Bayesian Optimization on QuadcoptersCode0
Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter DesignsCode0
Bayesian optimization for automatic design of face stimuliCode0
A Nonmyopic Approach to Cost-Constrained Bayesian OptimizationCode0
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function PriorCode0
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian OptimizationCode0
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF SurrogatesCode0
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM PruningCode0
Early Stopping Bayesian Optimization for Controller TuningCode0
Efficient Rollout Strategies for Bayesian OptimizationCode0
Event-Triggered Time-Varying Bayesian OptimizationCode0
Bayesian Optimization-based Combinatorial AssignmentCode0
An Invariant Information Geometric Method for High-Dimensional Online OptimizationCode0
New Heuristics for Parallel and Scalable Bayesian OptimizationCode0
Don't Waste Your Time: Early Stopping Cross-ValidationCode0
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian OptimizationCode0
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics ApproachCode0
BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantificationCode0
An Information-Theoretic Framework for Unifying Active Learning ProblemsCode0
Domain Invariant Learning for Gaussian Processes and Bayesian ExplorationCode0
DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation TasksCode0
BOCK : Bayesian Optimization with Cylindrical KernelsCode0
Distributionally Ambiguous Optimization Techniques for Batch Bayesian OptimizationCode0
Distributed Thompson sampling under constrained communicationCode0
Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary ComputationCode0
Discovering Many Diverse Solutions with Bayesian OptimizationCode0
Discovery of Self-Assembling π-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular SimulationCode0
D-VAE: A Variational Autoencoder for Directed Acyclic GraphsCode0
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to OptimalCode0
BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace EmbeddingsCode0
AdaCL:Adaptive Continual LearningCode0
Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamicsCode0
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive ManufacturingCode0
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systemsCode0
Diagnosing and fixing common problems in Bayesian optimization for molecule designCode0
Demystifying the Adversarial Robustness of Random Transformation DefensesCode0
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian ApproachCode0
An end-to-end neural network framework for SOH estimation and RUL prediction of lithium batteryCode0
BOtied: Multi-objective Bayesian optimization with tied multivariate ranksCode0
Deep Generative Models for Subgraph PredictionCode0
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