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Bayesian Optimization

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TitleStatusHype
Autonomous sputter synthesis of thin film nitrides with composition controlled by Bayesian optimization of optical plasma emission—0
Mastering the exploration-exploitation trade-off in Bayesian Optimization—0
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
Random Function DescentCode0
Representing Additive Gaussian Processes by Sparse Matrices—0
Network Cascade Vulnerability using Constrained Bayesian Optimization—0
Quantum Gaussian Process Regression for Bayesian Optimization—0
Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls—0
Self-Correcting Bayesian Optimization through Bayesian Active Learning—0
LA3: Efficient Label-Aware AutoAugmentCode0
Improving Urban Flood Prediction using LSTM-DeepLabv3+ and Bayesian Optimization with Spatiotemporal feature fusion—0
A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions—0
Searching for ribbons with machine learning—0
Promises and Pitfalls of the Linearized Laplace in Bayesian OptimizationCode0
Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average ConstraintsCode0
Bayesian optimization for sparse neural networks with trainable activation functions—0
Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization with Recurrent Neural Network—0
Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs—0
Solar Photovoltaic Systems Metadata Inference and Differentially Private Publication—0
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition—0
Model-Free Reconstruction of Capacity Degradation Trajectory of Lithium-Ion Batteries Using Early Cycle Data—0
Pareto Optimization of a Laser Wakefield Accelerator—0
Tetra-AML: Automatic Machine Learning via Tensor Networks—0
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales—0
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task—0
Preference-Aware Constrained Multi-Objective Bayesian Optimization—0
AdaCL:Adaptive Continual LearningCode0
Bayesian Optimization for Function Compositions with Applications to Dynamic PricingCode0
Protein Sequence Design with Batch Bayesian OptimisationCode0
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
Preference-Aware Delivery Planning for Last-Mile LogisticsCode0
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal—0
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOBCode0
Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization—0
Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull DesignCode0
Global optimization in the discrete and variable-dimension conformational space: The case of crystal with the strongest atomic cohesion—0
Guiding the Sequential Experiments in Autonomous Experimentation Platforms through EI-based Bayesian Optimization and Bayesian Model Averaging—0
Calibrated Regression Against An Adversary Without Regret—0
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift—0
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles—0
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles—0
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building BlocksCode0
Robust expected improvement for Bayesian optimization—0
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian OptimizationCode0
Enhancing Machine Learning Model Performance with Hyper Parameter Optimization: A Comparative Study—0
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networksCode0
Transfer Learning for Bayesian Optimization: A Survey—0
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