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Bayesian Optimization

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Showing 51–100 of 1900 papers

TitleStatusHype
TASAR: Transfer-based Attack on Skeletal Action RecognitionCode1
Model-Based Transfer Learning for Contextual Reinforcement LearningCode1
Transductive Active Learning with Application to Safe Bayesian OptimizationCode1
Cost-aware Bayesian Optimization via the Pandora's Box Gittins IndexCode1
Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD toolCode1
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequencesCode1
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint GenerationCode1
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter OptimizationCode1
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic LiftingCode1
VDTuner: Automated Performance Tuning for Vector Data Management SystemsCode1
Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-LearningCode1
Enabling Uncertainty Estimation in Iterative Neural NetworksCode1
Robustifying and Boosting Training-Free Neural Architecture SearchCode1
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?Code1
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation StrategyCode1
Standard Gaussian Process Can Be Excellent for High-Dimensional Bayesian OptimizationCode1
Genetic-guided GFlowNets for Sample Efficient Molecular OptimizationCode1
Vanilla Bayesian Optimization Performs Great in High DimensionsCode1
Efficient Hyperparameter Optimization with Adaptive Fidelity IdentificationCode1
Bayesian optimized physics-informed neural network for estimating wave propagation velocitiesCode1
Probabilistic learning of the Purkinje network from the electrocardiogramCode1
auto-sktime: Automated Time Series ForecastingCode1
GP+: A Python Library for Kernel-based learning via Gaussian ProcessesCode1
Using Large Language Models for Hyperparameter OptimizationCode1
Advancing Bayesian Optimization via Learning Correlated Latent SpaceCode1
Sustainable Concrete via Bayesian OptimizationCode1
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson samplingCode1
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with TransformersCode1
Autotuning Apache TVM-based Scientific Applications Using Bayesian OptimizationCode1
CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and OptimizationCode1
CktGNN: Circuit Graph Neural Network for Electronic Design AutomationCode1
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesCode1
HomOpt: A Homotopy-Based Hyperparameter Optimization MethodCode1
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed SpacesCode1
Sampling from Gaussian Process Posteriors using Stochastic Gradient DescentCode1
Tuning Legged Locomotion Controllers via Safe Bayesian OptimizationCode1
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?Code1
Memory-Based Dual Gaussian Processes for Sequential LearningCode1
InstructZero: Efficient Instruction Optimization for Black-Box Large Language ModelsCode1
Constrained Causal Bayesian OptimizationCode1
A Study of Bayesian Neural Network Surrogates for Bayesian OptimizationCode1
Protein Design with Guided Discrete DiffusionCode1
PFNs4BO: In-Context Learning for Bayesian OptimizationCode1
Query-Efficient Black-Box Red Teaming via Bayesian OptimizationCode1
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion ModelsCode1
Deep Pipeline Embeddings for AutoMLCode1
Alignment of Density Maps in Wasserstein DistanceCode1
NUBO: A Transparent Python Package for Bayesian OptimizationCode1
Bayesian Safety Validation for Failure Probability Estimation of Black-Box SystemsCode1
NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials scienceCode1
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