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Bayesian Optimization

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Showing 476–500 of 1900 papers

TitleStatusHype
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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