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Bayesian Optimization

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Showing 651–700 of 1900 papers

TitleStatusHype
Practical First-Order Bayesian Optimization Algorithms—0
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization—0
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual ProsthesesCode0
Amortized Inference for Gaussian Process Hyperparameters of Structured KernelsCode0
Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training—0
Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation—0
Tuning Legged Locomotion Controllers via Safe Bayesian OptimizationCode1
Functional Causal Bayesian Optimization—0
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics ApproachCode0
Ambulance Demand Prediction via Convolutional Neural Networks—0
Bayesian Optimization of Expensive Nested Grey-Box Functions—0
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?Code1
Self-Adjusting Weighted Expected Improvement for Bayesian OptimizationCode0
Memory-Based Dual Gaussian Processes for Sequential LearningCode1
InstructZero: Efficient Instruction Optimization for Black-Box Large Language ModelsCode1
Large-Batch, Iteration-Efficient Neural Bayesian Design OptimizationCode0
BOtied: Multi-objective Bayesian optimization with tied multivariate ranksCode0
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization—0
Protein Design with Guided Discrete DiffusionCode1
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian OptimizationCode0
A Study of Bayesian Neural Network Surrogates for Bayesian OptimizationCode1
Constrained Causal Bayesian OptimizationCode1
Identification of stormwater control strategies and their associated uncertainties using Bayesian OptimizationCode0
Optimization for truss design using Bayesian optimization—0
PFNs4BO: In-Context Learning for Bayesian OptimizationCode1
Query-Efficient Black-Box Red Teaming via Bayesian OptimizationCode1
Benchmarking state-of-the-art gradient boosting algorithms for classification—0
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion ModelsCode1
Inverse Protein Folding Using Deep Bayesian Optimization—0
The Behavior and Convergence of Local Bayesian OptimizationCode0
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning—0
Deep Pipeline Embeddings for AutoMLCode1
Learning Relevant Contextual Variables Within Bayesian OptimizationCode0
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML—0
Alignment of Density Maps in Wasserstein DistanceCode1
Multi-objective optimisation via the R2 utilitiesCode0
Autonomous sputter synthesis of thin film nitrides with composition controlled by Bayesian optimization of optical plasma emission—0
Neuromorphic Bayesian Optimization in Lava—0
Mastering the exploration-exploitation trade-off in Bayesian Optimization—0
NUBO: A Transparent Python Package for Bayesian OptimizationCode1
WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents—0
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning—0
No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function ApproximationsCode0
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling—0
Bayesian Safety Validation for Failure Probability Estimation of Black-Box SystemsCode1
Random Function DescentCode0
Representing Additive Gaussian Processes by Sparse Matrices—0
Network Cascade Vulnerability using Constrained Bayesian Optimization—0
NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials scienceCode1
RegHEC: Hand-Eye Calibration via Simultaneous Multi-view Point Clouds Registration of Arbitrary ObjectCode1
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