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Bayesian Optimization

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TitleStatusHype
Mechanism Design Optimization through CAD-Based Bayesian Optimization and Quantified Constraints—0
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR—0
Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality—0
Robustifying and Boosting Training-Free Neural Architecture SearchCode1
PMBO: Enhancing Black-Box Optimization through Multivariate Polynomial Surrogates—0
FeatAug: Automatic Feature Augmentation From One-to-Many Relationship TablesCode0
In-context Exploration-Exploitation for Reinforcement Learning—0
BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems—0
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization—0
Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization—0
TS-RSR: A provably efficient approach for batch Bayesian Optimization—0
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration—0
Cooperative Bayesian Optimization for Imperfect Agents—0
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters—0
Epsilon-Greedy Thompson Sampling to Bayesian Optimization—0
Parallel Hyperparameter Optimization Of Spiking Neural NetworkCode0
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties—0
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization—0
Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic AssaysCode0
Stopping Bayesian Optimization with Probabilistic Regret BoundsCode0
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning—0
Information-Theoretic Safe Bayesian Optimization—0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization—0
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information—0
A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging—0
Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunitiesCode0
Variational Entropy Search for Adjusting Expected Improvement—0
Physics-based material parameters extraction from perovskite experiments via Bayesian optimization—0
Transductive Active Learning: Theory and ApplicationsCode2
Transition Constrained Bayesian Optimization via Markov Decision Processes—0
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian OptimizationCode0
Boundary Exploration for Bayesian Optimization With Unknown Physical ConstraintsCode0
Generative Adversarial Model-Based Optimization via Source Critic RegularizationCode0
Principled Preferential Bayesian OptimizationCode0
CURE: Simulation-Augmented Auto-Tuning in Robotics—0
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?Code1
Voronoi Candidates for Bayesian OptimizationCode0
An Artificial Intelligence (AI) workflow for catalyst design and optimization—0
Fully autonomous tuning of a spin qubit—0
Large Language Models to Enhance Bayesian OptimizationCode2
Genetic-guided GFlowNets for Sample Efficient Molecular OptimizationCode1
Standard Gaussian Process Can Be Excellent for High-Dimensional Bayesian OptimizationCode1
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation StrategyCode1
Poisson Process for Bayesian Optimization—0
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks—0
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control—0
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial LibrariesCode0
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you NeedCode0
Vanilla Bayesian Optimization Performs Great in High DimensionsCode1
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