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Bayesian Optimization

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Showing 701–750 of 1900 papers

TitleStatusHype
BO-ICP: Initialization of Iterative Closest Point Based on Bayesian OptimizationCode1
Quantum Gaussian Process Regression for Bayesian Optimization—0
Bayesian Optimization Meets Self-DistillationCode1
Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls—0
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested SubspacesCode1
Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical PerformanceCode1
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
Searching for ribbons with machine learning—0
A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions—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 of Catalysis With In-Context LearningCode1
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
Unsupervised Sampling Promoting for Stochastic Human Trajectory PredictionCode1
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
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task—0
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales—0
Tetra-AML: Automatic Machine Learning via Tensor Networks—0
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian OptimizationCode1
Pareto Optimization of a Laser Wakefield Accelerator—0
Quantum approximate optimization via learning-based adaptive optimizationCode1
AdaCL:Adaptive Continual LearningCode0
Preference-Aware Constrained Multi-Objective Bayesian Optimization—0
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
Neural-BO: A Black-box Optimization Algorithm using Deep Neural NetworksCode1
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based EmbeddingsCode1
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
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlowCode2
Enhancing Machine Learning Model Performance with Hyper Parameter Optimization: A Comparative Study—0
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