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Bayesian Optimization

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TitleStatusHype
An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations—0
Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks—0
Bayesian Optimization by Kernel Regression and Density-based Exploration—0
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems—0
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization—0
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization—0
Design of Experiments for Verifying Biomolecular Networks—0
Discretization-free Knowledge Gradient Methods for Bayesian Optimization—0
Rapid Discovery of Graphene Nanocrystals Using DFT and Bayesian Optimization with Neural Network Kernel—0
Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication Systems—0
Demonstration of an AI-driven workflow for dynamic x-ray spectroscopy—0
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge—0
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients—0
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift—0
Bayesian Optimization Assisted Meal Bolus Decision Based on Gaussian Processes Learning and Risk-Sensitive Control—0
Bayesian optimization as a flexible and efficient design framework for sustainable process systems—0
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System—0
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network—0
Bayesian Optimization and Deep Learning forsteering wheel angle prediction—0
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization—0
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions—0
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning—0
Bayesian Optimization Allowing for Common Random Numbers—0
A new integral loss function for Bayesian optimization—0
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes—0
Bayesian Optimisation with Formal Guarantees—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction—0
Deep Siamese Networks with Bayesian non-Parametrics for Video Object Tracking—0
Bayesian Neighbourhood Component Analysis—0
An Entropy Search Portfolio for Bayesian Optimization—0
Bayesian Multi-Scale Optimistic Optimization—0
Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method—0
Adaptive Multi-Objective Bayesian Optimization for Capacity Planning of Hybrid Heat Sources in Electric-Heat Coupling Systems of Cold Regions—0
The Gittins Index: A Design Principle for Decision-Making Under Uncertainty—0
Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective—0
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction—0
Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization—0
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms—0
Bayesian Intervention Optimization for Causal Discovery—0
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax—0
An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures—0
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables—0
Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems—0
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization—0
Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems—0
Convolutional neural network for Lyman break galaxies classification and redshift regression in DESI (Dark Energy Spectroscopic Instrument)—0
Bayesian Hyperparameter Optimization for Ensemble Learning—0
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